2005 IEEE International

Conference on Acoustics, Speech,and Signal Processing

Proceedings

Volume I of V

Speech Processing

March 18-23, 2005

Pennsylvania Convention Center/Marriott Hotel

Philadelphia, Pennsylvania, USA

Sponsored by

The Institute of Electrical and Electronics Engineers

Signal Processing Society

TIB/UB Hannover 89

127 547 649

OIEEE

TABLE OF CONTENTS

Volume I

SP-Ll: VOICE MORPHING

SP-L1.1: POLYGLOTSYNTHESIS USING A MIXTURE OF MONOLINGUAL CORPORA I -1

Javier Latorre, Koji Iwano, Sadaoki Furui, Tokyo Institute ofTechnology, Japan

SP-L1.2: INTRODUCING ROUGHNESS IN INDIVIDUALITY TRANSFORMATION I - 5

THROUGH JITTER MODELING AND MODIFICATION

Asliish Verma, IBM India Research Labs, India; Arun Kumar, CARE, Indian Institute ofTechnology Delhi, India

SP-L1.3: SPECTRAL CONVERSION BASED ON MAXIMUM LIKELIHOOD ESTIMATION I - 9

CONSIDERING GLOBAL VARIANCE OF CONVERTED PARAMETER

Tomoki Toda, Nagoya Institute ofTechnology, Japan; Alan W, Black, Carnegie Mellon University, United Slates; Keiichi Tokuda,

Nagoya Institute ofTechnology, Japan

SP-L1.4: A STUDYON RESIDUAL PREDICTION TECHNIQUES FOR VOICE I -13

CONVERSION

David Suendennann, Antonio Bonafonte, Universitat Polilecnica de Catalunya, Spain; Hermann Ney, RWTH Aachen University,Germany; Harald Hoege, Siemens AG, Germany

SP-L1.S: VOICE FORGERY USING ALISP: INDEXATION IN A CLIENT MEMORY I -17

Patrick Perrol, Guido Aversano, Raphael Blouet, Maurice Charbit, Gerard Chollet, Ecole Nationale Superieure cles

Telecommunications, France

SP-L1.6: AN IMPROVED SPECTRAL AND PROSODIC TRANSFORMATION METHOD IN I - 21

STRAIGHT-BASED VOICE CONVERSION

Long Qin, Gaopeng Chen, Zhenhua Ling, Lirong Dai, University ofScience and Technology ofChina, China

SP-L2: SPOKEN LANGUAGE UNDERSTANDING AND DIALOG

SP-L2.1: INCORPORATING DISCOURSE FEATURES INTO CONFIDENCESCORING OF I - 25

INTENTION RECOGNITION RESULTS IN SPOKEN DIALOGUE SYSTEMS

Ryuichiro Higashinaka, Katsuhito Sudoh, Mikio Nakano, Nippon Telegraph and Telephone Corporation, Japan

SP-L2.2: SEMANTIC INTERPRETATION WITH ERROR CORRECTION I - 29

Christian Raymond, Frideric Bechel, Nathalie Camelin, Renato De Mori, University ofAvignon, France; Geraldine Damnati,

France Telecom R&D, France

SP-L2.3: DIALOG ACT TAGGING USING GRAPHICAL MODELS I - 33

GangJi, JeffBilmes, University of Washington, Seattle, United States

SP-L2.4: A CLARIFICATION ALGORITHM FOR SPOKENDIALOGUE SYSTEMS I - 37

Charles Lewis, Giuseppe Di Fabbrizio, AT&TLabs - Research, United States

SP-L2.5: MODEL ADAPTATION FOR SPOKEN LANGUAGE UNDERSTANDING I - 41

Gokhan Tur, AT&T Labs - Research, United States

SP-L2.6: UNSUPERVISED SEMANTIC INTENT DISCOVERY FROM CALL LOG I - 45

ACOUSTICS

Xiao Li, University of Washington, United States; Asela Gunewardana, AlexAcero, Microsoft Research, United States

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SP-L3: SPEECH PERCEPTION AND PSYCHACOUSTICS

SP-L3.1: PROPOSAL ON OBJECTIVE SPEECH QUALITY ASSESSMENTFOR WIDEBAND I - 49

IP TELEPHONY

Chiharu Morioka, Atsuko Kurashima, Akira Takahashi, NTT Sendee Integration Laboratories, Japan

SP-L3.2: NEURAL CELL TYPE RECOGNITION BETWEEN GLOBUS PALLIDUS I - 53

EXTERNUS AND GLOBUS PALLIDUS INTERNUS BY GAUSSIAN MIXTURE MODELING

Qiang Fu, Mark Clements, Georgia Institute ofTechnology, United States; Klaus Mewes, Emory University, United States

SP-L3.3: ANALYSIS OF RELATIONSHIP BETWEEENOVERALL QUALITY AND I - 57

PSYCHOLOGICAL FACTORS AFFECTING HIGH-QUALITY SPEECH COMMUNICATION

SERVICES

Hitoshi Aoki, Akira Takahashi, NTT, Japan

SP-L3.4: CAN YOU UNDERSTAND HIM? LET'S LOOKAT HIS WORD ACCURACY - I - 61

AUTOMATIC EVALUATION OF TRACHEOESOPHAGEAL SPEECH

Maria Schuster, Universitdtsklinikum Erlemgen, Gennany; Elmar Noelh, Tino Haderl, Stefan Sleidl, Anton Batliner, Universitdt

Erlangen-NUmberg, Germany; Frank Rosanowski, Universitdtsklinikum Erlangen, Germany

SP-L3.5: A WARPED BANDWIDTH EXPANSION FILTER I - 65

Marc Boillol, University ofFlorida / Motorola, United Slates; John Harris, University ofFlorida, United Stales

SP-L3.6: RELATIVE ENERGY AND INTELLIGIBILITY OF TRANSIENT SPEECH I - 69

INFORMATION

Sungyub Yoo, J. Robert Boston, John Durrant, Kristie Kovacyk, Stacey Karn, Susein Shaiman, Amro El-Jamudi, Ching-Chung Li,

University ofPittsburgh, United Stales

SP-L4: CONFIDENCE MEASURES AND REJECTION ALGORITHMS

SP-L4.1: REJECTION USING RANK STATISTICS BASED ON HMM STATE SHORTLISTS I - 73

Enrico Bocchieri, Sarangarajan Parthasaralhy, AT&T Labs - Research, United Slates

SP-L4.2: SPEAKER ADAPTIVE CONFIDENCE SCORING USING BAYESIAN COMBINING I - 77

Tae-Yoon Kim, Hanseok Ko, Korea University, Republic of Korea

SP-L4.3: IMPROVING UTTERANCE VERIFICATION USING ADDITIONAL CONFIDENCE I - 81

MEASURES IN ISOLATED SPEECH RECOGNITION INTERFACES

Graham Greenland, Willy Wong, Hans Kunov, University of Toronto, Canada

SP-L4.4: GENERALIZED POSTERIOR PROBABILITY FOR MINIMUM ERROR I - 85

VERIFICATION OF RECOGNIZED SENTENCES

Wai Kit Lo, Frank K. Soong, Spoken Language Translation Research Labs, ATR, Japan

SP-L4.5: ROBUST SPEECH RECOGNITION BY INTEGRATING SPEECH SEPARATION I - 89

AND HYPOTHESIS TESTING

Soundararajan Srinivasan, DeLiang Wang, The Ohio Stale University, United States

SP-L4.6: COMBINATION OF MULTIPLE PREDICTORS TO IMPROVE CONFIDENCE I - 93

MEASURE BASED ONLOCAL POSTERIOR PROBABILITIES

Yuewen Fu, Limin Du, Chinese Academy of Sciences, China

SP-L5: DISCRIMINATIVE TRAINING

SP-L5.1: ADAPTATION OF PRECISION MATRIXMODELS ON LARGE VOCABULARY I - 97

CONTINUOUS SPEECH RECOGNITION

Khe Chai Sim, Mark J. F. Gales, Cambridge University, United Kingdom

xvi

SP-L5.2: DISCRIMINATIVE TRAINING OF CDHMMS FORMAXIMUM RELATIVE I -101

SEPARATION MARGIN

Chaojun Liu, Hui Jiang, Xinwei Li, York University, Canada

SP-L5.3: STATISTICAL PERFORMANCE ANALYSIS OF MCE/GPD LEARNING IN GAUSSIAN I -105

CLASSIFIERS AND HIDDEN MARKOV MODELS

MohamedAfify, BBN Technologies, United States; Xin-Wei Li, Hui Jiang, York University, Canada

SP-L5.4: DISCRIMINATIVETRAINING OF ACOUSTIC MODELS APPLIED TO DOMAINS I -109

WITH UNRELIABLE TRANSCRIPTS

Lambert Mathias, Johns Hopkins University, United States; Girija Yegnanarayanan, Juergen Fritsch, Multimodal Technologies,Inc., United States

SP-L5.5: MINIMUM CLASSIFICATION ERROR FOR LARGE SCALE SPEECH I -113

RECOGNITION TASKS USING WEIGHTED FINITE STATE TRANSDUCERS

Erik McDermott, Shigeru Katagiri, NTT Corporation, Japan

SP-L5.6: DISCRIMINATIVETRAINING BASEDONTHE CRITERION OF LEAST PHONE I -117

COMPETING TOKENS FOR LARGE VOCABULARY SPEECH RECOGNITION

Bo Liu, University ofSci. & Tech. ofChina, China; Hui Jiang, York University, Canada; Jian-Lai Zhou, Microsoft Reseach Asia,

China; Ren-Hua Wang, University ofSci. & Tech. of China, China

SP-L6: QUANTIZATION AND QUALITY MEASUREMENT

SP-L6.1: MULTI-FRAME GMM-BASED BLOCK QUANTISATION OF LINE SPECTRAL I -121

FREQUENCIES FOR WIDEBAND SPEECH CODING

Stephen So, Kuldip K. Paliwal, Griffith University, Australia

SP-L6.2: NON-INTRUSIVE GMM-BASED SPEECH QUALITY MEASUREMENT I -125

Tiago Folk, Qingfeng Xu, Wai-Yip Chan, Queen's University, Canada

SP-L6.3: A MULTIPLE-DESCRIPTION PCM SPEECH CODER USING STRUCTURED I -129

DUAL VECTOR QUANTIZERS

Stephen Voran, Institute for Telecommunication Sciences, United States

SP-L6.4: A NEW SEGMENT QUANTIZER FOR LINE SPECTRAL FREQUENCIES USING I -133

LEMPEL-ZIV ALGORITHM

Minoru Kohata, Chiba Institute of Technology, Japan; Motoyuki Suzuki, Shozo Makino, Tohoku University, Japan

SP-L6.5: PREDICTIVE VQFORBANDWIDTH SCALABLE LSP QUANTIZATION I -137

Hiroyuki Ehara, Toshiyuki Morii, Masahiro Oshikiri, Koji Yoshida, Matsushita Electric Industrial Co., Ltd., Japan

SP-L6.6: CODING WITH SIDE INFORMATION TECHNIQUES FORLSF I -141

RECONSTRUCTION IN VOICE OVER IP

Yannis Agiomyrgiannakis, Foundation ofResearch and Technology Hellas, Greece; Yannis Stylianou, University of Crete,

Greece

SP-L7: SPEECH ENHANCEMENT WITH NOISE REDUCTION

SP-L7.1: SIGNAL SUBSPACE SPEECHENHANCEMENT FOR AUDIBLE NOISE I -145

REDUCTION

Changhuai You, SooNgee Koh, Nanyang Technological University, Singapore; Susanto Rahardja, Institutefor Infocomm

Research, Singapore

SP-L7.2: A WAVELET KALMAN FILTER WITHPERCEPTUAL MASKING FOR SPEECH I -149

ENHANCEMENT IN COLORED NOISE

Ning Ma, Martin Bouchard, University ofOttawa, Canada; Rafik A. Goubran, Carleton University, Canada

x\m

SP-L7.3: ADAPTIVE TIME SEGMENTATION OF NOISY SPEECH FOR IMPROVED I -153

SPEECH ENHANCEMENT

Richard Christian Hendriks, Richard Heusdens, Jesper Jensen, Delft University ofTechnology, Netherlands

SP-L7.4: SPEECHENHANCEMENT USING HARMONIC REGENERATION I -157

Cyril Plapous, Claude Marro, France Telecom, France; Pascal Scedart, ENSSAT, France

SP-L7.5: INSTANT NOISE ESTIMATION USING FOURIERTRANSFORM OFAMDFAND I -161

VARIABLE START MINIMA SEARCH

Zhong Lin, RafikA. Goubran, Carlelon University, Canada

SP-L7.6: SPEECH ENHANCEMENT BASED ON SPEECH SPECTRAL COMPLEX GAUSSIAN I -165

MIXTURE MODEL

Guo-Hong Ding, Xia Wang, Yang Cao, Feng Ding, Yuezhong Tang, Nokia Research Center, Beijing, China

SP-L8: SPEAKER RECOGNITION USING ACOUSTIC AND HIGHER LEVEL FEATURES

SP-L8.1: IMPROVED PHONETIC SPEAKER RECOGNITION USING LATTICE DECODING I -169

Andrew Hatch, Barbara Peskin, International Computer Science Institute, United States; Andreas Stolcke, SRI International,

United States

SP-L8.2: SRFS 2004 NIST SPEAKER RECOGNITION EVALUATION SYSTEM I -173

Sachin Kajarekar, Luciano Ferrer, Elizabeth Shriberg, Kemal Sonmez, Andreas Stolcke, Anand Venkataraman, Jing Zheng, SRI

International, United States

SP-L8.3: THE 2004 MIT LINCOLN LABORATORY SPEAKER RECOGNITION SYSTEM I -177

Douglas Reynolds, William Campbell, Terry Gleason, Carl Quillen, Douglas Sturim, Pedro Torres-Carrasquillo, MIT Lincoln

Leiboratory, United States; Andre Adami, Oregon Health & Science University, United States

SP-L8.4: SPEAKER VERIFICATION USING ADAPTED ARTICULATORY FEATURE-BASED I -181

CONDITIONAL PRONUNCIATION MODELING

Ka-Yee Leung, Man-Wai Mak, Hong Kong Polytechnic University, Hong Kong SAR ofChina; Manhitng Siu, Hong KongUniversity ofScience and Technology, Hong Kong SAR ofChina; Sun-Yuan Kung, Princeton University, United Stales

SP-L8.5: PROSODY MODELING AND EIGEN-PROSODY ANALYSIS FORROBUST I -185

SPEAKER RECOGNITION

Zi-He Chen, National Central University, Taiwan; Yuan-Fu Liao, National Taipei University ofTechnology, Taiwan; Yau-TarngJuang, National Central University, Taiwan

SP-L8.6: PROSODIC MODELING FOR SPEAKER RECOGNITION BASED ON SUB-BAND I -189

ENERGY TEMPORAL TRAJECTORIES

Andre Adami, University ofCaxias do Sul, Brazil

SP-L9: LARGE VOCABULARY ASR

SP-L9.1: SUB-PHONETIC POLYNOMIAL SEGMENT MODEL FOR LARGE VOCABULARY I -193

CONTINUOUS SPEECH RECOGNITION

Siu-Kei Au Yeung, Chak-Fai Li, Man-Hung Siu, Hong Kong University ofScience and Technology, Hong Kong SAR ofChina

SP-L9.2: CONTRUCTING ENSEMBLES OF ASR SYSTEMS USING RANDOMIZED I -197

DECISION TREES

Olivier Siohan, Bhuvana Ramabhadran, Brian Kingsbury, IBM T. J. Watson Research Center, United Stales

SP-L9.3: EFFICIENT GENERATION OF HIGH-ORDER CONTEXT-DEPENDENT I - 201

WEIGHTED FINITE STATETRANSDUCERS FOR SPEECHRECOGNITION

Mike Schuster, Takaaki Hori, NTT Corporation, Japan

xviu

SP-L9.4: THE IBM 2004 CONVERSATIONAL TELEPHONY SYSTEM FOR RICH I - 205

TRANSCRIPTION

Hagen Soltau, Brian Kingsbury, Lidia Mangu, Daniel Povey, George Soon, Geoffrey Zweig, IBM, United States

SP-L9.5: TRAINING LVCSR SYSTEMS ON THOUSANDS OF HOURS OF DATA I - 209

Gunnar Evermann, Ho Yin Chan, MarkJ. F. Gales, Bin Jia, DavidMrva, Phil Woodland, Kai Yu, Cambridge University, United

Kingdom

SP-L9.6: LANDMARK-BASED SPEECH RECOGNITION: REPORT OF THE 2004 JOHNS I - 213

HOPKINS SUMMER WORKSHOP

Mark Hasegawa-Johnson, University ofIllinois, United States; James Baker, Carnegie Mellon University, United States; Sarah

Borys, University ofIllinois, United States; Ken Chen, University ofCalifornia, San Diego, UnitedStates; Emily Coogan,

University ofIllinois, United States; Steven Greenberg, University ofCalifornia, Berkeley, United States; AmitJuneja, University

ofMaryland, United States; Katrin Kirchhqff, University of Washington, United States; Karen Livescu, Massachusetts Institute of

Technology, United States; Srividya Mohan, Johns Hopkins University, United States; Jennifer Mutter, Department ofDefense,United Stales; Kemal Sonmez, SRI International, United States; Tianyu Wang, Georgia Institute ofTechnology, United States

SP-L10: NOVEL METHODS FOR SPEECH ANALYSIS

SP-L10.1: SPEECH ANALYSIS BY ESTIMATING PERCEPTUALLY RELEVANT POLE I - 217

LOCATIONS

Venkatraman Atli, Andreas Spanias, Arizona State University, United States

SP-L10.2: COHERENTENVELOPE DETECTION FOR MODULATION FILTERING OF I - 221

SPEECH

Steven Schimmel, Les Atlas, University of Washington, United Slates

SP-L10.3: SPEECHSIGNAL ANALYSIS WITH EXPONENTIALAUTOREGRESSIVE MODEL I - 225

Kentaro Ishizuka, Hiroko Kato, Tomohiro Nakatani, NTT Corporation, Japan

SP-L10.4: COMPARISON OF AUTOREGRESSIVEPARAMETER ESTIMATION ALGORITHMS 1-229

FORSPEECH PROCESSING AND RECOGNITION

Robert Morris, Jon Arrowood, Nexidia Inc., United States; Mark Clements, Georgia Institute of Technology, United States

SP-L10.5: ANALGORITHMFOR LOCATING FUNDAMENTAL FREQUENCY MARKERS IN I - 233

SPEECH SIGNALS

Princy Dikshit, Stephen Zahorian, Shivaram Nagulapati, Old Dominion University, United States

SP-L10.6: AN AUTOREGRESSIVE, NON-STATIONARY EXCITED SIGNAL PARAMETER I - 237

ESTIMATION METHOD AND AN EVALUATION OF A SINGING-VOICE RECOGNITION

Akira Sasou, Masataka Goto, Natl. Inst, ofAdv. lnd. Sci. & Technology (AIST), Japan; Satoru Hayamizu, Gifu University, Japan;

Kazuyo Tanaka, University' ofTsukuba, Japan

SP-L11: NOISE ROBUST SPEECH RECOGNITION

SP-Lll.l: STATIC AND DYNAMIC SPECTRAL FEATURES: THEIR NOISE ROBUSTNESS I - 241

AND OPTIMAL WEIGHTS FOR ASR

Chen Yang, The Chinese University ofHong Kong, Hong Kong SAR ofChina; Frank K. Soong, Spoken Language Translation

Labs, ATR, Japan; Tan Lee, The Chinese University ofHong Kong, Hong Kong SAR ofChina

SP-L11.2: LOG-ENERGY DYNAMIC RANGE NORMALIZATON FOR ROBUST SPEECH I - 245

RECOGNITION

Weizhong Zhu, INRS-EMT, University ofQuebec, Canada; Douglas O'Shaughnessy, University ofQuebec, Canada

SP-L11.3: A COMPANDING FRONT END FOR NOISE-ROBUST AUTOMATIC SPEECH I - 249

RECOGNITION

Jethran Guinness, Bhiksha Raj, Bent Schmidt-Nielsen, Mitsubishi Electric Research Laboratories, United Slates; Lorenzo

Turicchia, Rahul Sarpeshkar, Massachusetts Institute of Technology, United States

xix

SP-L11.4: MULTI-RESOLUTION SPECTRAL ENTROPY FEATUREFOR ROBUST ASR I - 253

Hemant Misra, Shajith Ikbal, Sunil Sivadas, Herve Bourlard, IDIAP Research Institute, Switzerland

SP-L11.5: PARTICLE FILTER BASED NON-STATIONARY NOISE TRACKING FORROBUST I - 257

SPEECHRECOGNITION

Masakiyo Fujimolo, Satoshi Nakamura, ATR Spoken Language Translation Research Labs, Japan

SP-L11.6: ONLINE CEPSTRAL FILTERING USING A SEQUENTIAL EM APPROACH WITH I - 261

POLYAKAVERAGING AND FEEDBACK

Tor Andre Myivoll, Norwegian University ofScience and Technology, Nonvay; Satoshi Nakamura, SLTLaboratory, ATR, Japan

SP-P1: PROSODY AND SPEECH SYNTHESIS

SP-P1.1: IMPROVING THE UNDERSTANDABILITY OF SPEECH SYNTHESIS BY I - 265

MODELING SPEECH IN NOISE

Brian Langner, Alan W. Black, Carnegie Mellon University, United States

SP-P1.2: AN AUTOMATIC PROSODY RECOGNIZER USING A COUPLED MULTI-STREAM I - 269

ACOUSTIC MODEL ANDA SYNTACTIC-PROSODIC LANGUAGE MODEL

Sankaranarayanan Aneinthakrishnan, Shrikanth Narayanan, University ofSouthern California, United States

SP-P1.3: FO CONTROL CHARACTERIZATION BY PERCEPTUAL IMPRESSIONS ON I - 273

SPEAKING ATTITUDES USING MULTIPLE DIMENSIONAL SCALING ANALYSIS

Yoko Kokenawa, Waseda University, Japan; Minoru Tsuzaki, Kyoto City University' ofArts, Japan; Hiroaki Kato, ATR Human

Information Science Labs, Japan; Yoshinori Sagisaka, Waseda University, Japan

SP-P1.4: ADDITIVE MODELING OF ENGLISH FO CONTOUR FOR SPEECH SYNTHESIS I - 277

Shinsuke Sakai, Massachusetts Institute ofTechnology, United Stales

SP-P1.5: PROSODY ANALYSIS AND MODELING FOR EMOTIONALSPEECH SYNTHESIS I - 281

Dan-ning Jiang, Tsinghua University, China; Wei Zhang, Li-qin Shen, IBM China Research Lab, China; Lian-hong Cai,

Tsinghua University, China

SP-P1.6: SLIDING WINDOW SMOOTHING FORMAXIMUM ENTROPY BASED I - 285

INTONATIONAL PHRASE PREDICTION IN CHINESE

Jian-Feng Li, Guo-Ping Hit, Ren-Hua Wang, Li-Rong Dai, University ofScience and Technology of China, China

SP-P1.7: IDENTIFICATION AND SYNTHESIS OF CANTONESE TONES BASED ON THE I - 289

COMMAND-RESPONSE MODELFOR FO CONTOUR GENERATION

Wenlao Gu, Shanghai Jiaotong University, China; Keikichi Hirose, Hiroya Fujisaki, University of Tokyo, Japan

SP-P1.8: COMPRESSION OF EXCEPTION LEXICONS FOR SMALL FOOTPRINT I - 293

GRAPHEME-TO-PHONEME CONVERSION

Joram Meron, Peter Veprek, Panasonic Digital Networking Lab, United States

SP-P1.9: PREDICTION OF PRONUNCIATION VARIATIONS FOR SPEECH SYNTHESIS: A I - 297

DATA-DRIVEN APPROACH

Christina Bennett, Alan W. Black, Carnegie Mellon University, United States

SP-P1.10: RECORDING SCRIPT DESIGN FOR CORPUS-BASED TTS SYSTEM BASED ON I - 301

COVERAGE OF VARIOUS PHONETIC ELEMENTS

Mitsuaki Isogai, Hideyuki Mizuno, Kazunori Memo, NTT Cyber Space Laboratories, NTT Corporation, Japan

SP-P1.11: OPTIMAL SUBSET SELECTIONFROM TEXT DATABASES I - 305

Jilei Tian, Jcmi Nurminen, Imre Kiss, Nokia Research Center, Finland

SP-P1.12: COMPARATIVE STUDY OF AUTOMATIC PHONE SEGMENTATION METHODS I - 309

FOR TTS

Jordi Aclell, Antonio Bonafonle, Universitat Polite'cnica de Catalunya, Spain; Jon Ander Gdmez., Maria Jose Castro, Universitat

Politecnica de Valencia, Spain

xx

SP-P2: GENERAL TOPICS IN ASR

SP-P2.1: INCREASED ROBUSTNESS AGAINST BIT ERRORS FOR DISTRIBUTED SPEECH I - 313

RECOGNITION IN WIRELESS ENVIRONMENTS

Brian Delaney, Georgia Institute of Technology, United States

SP-P2.2: "OF ALL THINGS THE MEASURE IS MAN": AUTOMATIC CLASSIFICATION OF I - 317

EMOTIONS AND INTER-LABELER CONSISTENCY

Stefan Steidl, Michael Levit, Anton Ballmer, ElmarNoth, HeinrichNiemann, University ofErlangen, Germany

SP-P2.3: DISORDERED SPEECHEVALUATION USING OBJECTIVE QUALITY MEASURES I - 321

Lingyun Gu, John Harris, Rahul Shrivastav, Christine Sapienza, University ofFlorida, United States

SP-P2.4: META-CLASSIFIERS IN ACOUSTIC AND LINGUISTIC FEATURE FUSION-BASED I - 325

AFFECT RECOGNITION

Bjorn Schuller, Raquel Jimenez Villar, Gerhard Rigoll, Manfred Lang, Technische Universitat Munchen, Germany

SP-P2.5: PACKET LOSS CONCEALMENT BASED ONVQ REPLICAS AND MMSE I - 329

ESTIMATION APPLIEDTO DISTRIBUTED SPEECH RECOGNITION

Antonio M. Peinado, Angel M. Gomez, Victoria E. Sanchez, Jose L. Perez-Cordoba, Antonio J. Rubio, Universidad de Granada,

Spain

SP-P2.6: A COMPARISON OF SOFT-FEATUREDISTRIBUTED SPEECH RECOGNITION I - 333

WITH CANDIDATE CODECS FOR SPEECH ENABLED MOBILE SERVICES

Valentin Ion, Reinhold Haeb-Umbach, University ofPaderborn, Germany

SP-P2.7: A HIDDEN TRAJECTORY MODEL WITH BI-DIRECTIONAL TARGET-FILTERING: I - 337

CASCADED VS. INTEGRATED IMPLEMENTATIONFOR PHONETIC RECOGNITION

Li Deng, Xiang Li, Dong Yu, Alex Acero, Microsoft Research, United States

SP-P2.8: A COMPARISON OF CLASSIFIERS FOR DETECTINGEMOTION FROM SPEECH I - 341

Izhak Shafran, Johns Hopkins University, United States; Mehryar Mohri, New York University, United States

SP-P2.9: SOFT DECODING OF TEMPORAL DERIVATIVES FOR ROBUST DISTRIBUTED I - 345

SPEECHRECOGNITION IN PACKET LOSS

Alastair James, Ben Milnet; University ofEastAnglia, United Kingdom

SP-P2.10: DBN-BASED MULTI-STREAM MODELS FOR MANDARIN TONEME I - 349

RECOGNITION

Xin Lei, Gang Ji, Tim Ng, JeffBilmes, Mari Ostendorf, University of Washington, United States

SP-P2.11: SPARSE KPCA FOR FEATURE EXTRACTION IN SPEECH RECOGNITION I - 353

Amaro Lima, Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Nagoya Institute ofTechnology, Japan;

Fernando Gil Resende, Federal University ofRio de Janeiro, Brazil

SP-P2.12: EFFECTS OF PHONEME CHARACTERISTICS ON TEO FEATURE-BASED I - 357

AUTOMATIC STRESS DETECTION IN SPEECH

Evan Ruzanski, University ofColorado, United States; John H. L. Hansen, University ofColorado, Boulder, United States; James

LMeyerhoff, George Saviolakis, Michael Koenig, Walter ReedArmy Institute ofResearch, United States

SP-P3: SPEECH ANALYSIS AND SYNTHESIS

SP-P3.1: SCALABLE CONCATENATIVE SPEECH SYNTHESIS BASED ON THE PLURAL I - 361

UNIT SELECTION AND FUSION METHOD

Masalsune Tamura, Tatsuya Mizutani, Takehiko Kagoshima, Toshiba Corporation, Japan

SP-P3.2: ADAPTIVE TRAINING FOR HIDDEN SEMI-MARKOV MODEL I - 365

Junichi Yamagishi, Takao Kobayashi, Tokyo Institute ofTechnology, Japan

XXI

SP-P3.3: PERCEPTUALLY WEIGHTED LONG TERM MODELING OF SINUSOIDAL I - 369

SPEECH AMPLITUDE TRAJECTORIES

Mohammad Firouzmand, Laurent Girin, INPG, France

SP-P3.4: SPEECH RECOGNITION IN THE BLIND CONDITION BASED ON MULTIPLE I - 373

DIRECTIVITY PATTERNS USING A MICROPHONE ARRAY

Toshiyuki Sekiya, Tetsunori Kobayashi, Waseda University, Japan

SP-P3.5: AN UNSUPERVISED QUANTITATIVE MEASURE FOR WORD PROMINENCE IN I - 377

SPONTANEOUS SPEECH

Dagen Wang, Shrikanth Narayanan, USC Viterbi School ofEngineering, United States

SP-P3.6: SPEECH MODELLING BASED ON GENERALIZED GAUSSIAN PROBABILITY I - 381

DENSITY FUNCTIONS

Kostas Kokkinakis, Asoke K. Nandi, University ofLiverpool, United Kingdom

SP-P3.7: BAYESIAN MODEL BASED NON-INTRUSIVE SPEECH QUALITY EVALUATION I - 385

Guo Chen, VijayParsa, University ofWestern Ontario, Canada

SP-P3.8: ROBUST PITCH ESTIMATION AT VERY LOW SNR EXPLOITING TIME AND I - 389

FREQUENCY DOMAIN CUES

Celia Shahnaz, Wei-Ping Zhu, M. Omair Ahmad, Concordia University, Canada

SP-P3.9: FUNDAMENTAL FREQUENCY ESTIMATION AND VOCAL TREMOR ANALYSIS BY I - 393

MEANS OF MORLET WAVELET TRANSFORMS

Laurence Cnockaerl, Francis Grenez, Jean Schoentgen, University Libre de Bruxelles, Belgium

SP-P3.10: AUTOMATIC SPEECH SEGMENTATION USING AVERAGE LEVEL CROSSING I - 397

RATE INFORMATION

Anindya Sarkar, T. V. Sreenivas, Indian Institute of Science, India

SP-P3.11: DWT-BASED PHONETIC GROUPS CLASSIFICATION USING NEURAL I - 401

NETWORKS

Van Titan Pham, Gemot Kubin, University of Technology, Graz, Austria

SP-P3.12: A NOVEL KLTALGORITHM OPTIMIZED FOR SMALL SIGNAL SETS I - 405

Francesco Gianfelici, Giorgio Biagetti, Paolo Crippa, Claudio Turchetli, Universita Politecnica delle Marche, Italy

SP-P3.13: VOICING-STATE CLASSIFICATION OF CO-CHANNEL SPEECH USING I - 409

NONLINEAR STATE-SPACE RECONSTRUCTION

Yasser Mahgoub, Richard Dansereau, Carleton University, Canada

SP-P3.14: SPEECH RATE ESTIMATION VIA TEMPORAL CORRELATION AND SELECTED I - 413

SUB-BAND CORRELATION

Shrikanth Narayanan, Dagen Wang, USC Viterbi School ofEngineering, United States

SP-P4: MODEL-BASED ROBUST SPEECH RECOGNITION

SP-P4.1: CLOSELY COUPLED ARRAY PROCESSING AND MODEL-BASED I - 417

COMPENSATION FOR MICROPHONE ARRAY SPEECH RECOGNITION

Xianyu Zhao, Zhijian On, Minima Chen, Zuoying Wang, Tsinghua University, China

SP-P4.2: CONTEXT-DEPENDENTDURATION MODELING I - 421

Daniel Willett, Temic Speech Dialog Systems, Germany

SP-P4.3: RECOGNISING SPEECH IN THE PRESENCE OF A COMPETING SPEAKER I - 425

USING A SPEECHFRAGMENT DECODER'

Andre" Coy, Jon Barker, University ofSheffield, United Kingdom

xxu

SP-P4.4: AN ENVIRONMENT COMPENSATED MAXIMUM LIKELIHOOD TRAINING I - 429

APPROACHBASED ON STOCHASTICVECTOR MAPPING

Jian Wu, Microsoft Corp., United States; Qiang Huo, Donglai Zhu, University ofHong Kong, Hong Kong SAR of China

SP-P4.5: EFFECT OF PHASE-SENSITIVE ENVIRONMENT MODELAND HIGHER ORDER I - 433

VTS ON NOISY SPEECH FEATURE ENHANCEMENT

Veronique Stouten, Hugo Van hamme, Patrick Wambacq, Katholieke Universiteit Leuven, Belgium

SP-P4.6: TOWARDS SPEECHRECOGNITION ORIENTED DEREVERBERATION I - 437

Pamornpol Jinachitra, Stanford University, United States; Ramon Prieto, Toyota InfoTechnology Center U.S.A., United States

SP-P4.7: NOISY SPEECHRECOGNITION BASED ONROBUST END-POINT DETECTION I - 441

ANDMODELADAPTATION

Zhipeng Zhang, NTT DoCoMo, Japan; Sadaoki Fund, Tokyo Institute ofTechnology, Japan

SP-P4.8: ANALYSIS OF A LARGE IN-CAR SPEECH CORPUS AND ITS APPLICATION TO THE I - 445

MULTIMODEL ASR

Hiroshi Fujimura, Chiyomi Miyajima, Katsunobu Itou, Kazuya Takeda, Nagoya University, Japan; Fumilada Itakura, Meijo

University, Japan

SP-P4.9: BUILDING AN EFFECTIVE CORPUS BY USING ACOUSTIC SPACE I - 449

VISUALIZATION (COSMOS) METHOD

Goshu Nagino, Makoto Shozakai, Asahi Kasei Corporation, Japan

SP-P4.10: HMM/ANN BASED SPECTRAL PEAK LOCATION ESTIMATION FOR NOISE I - 453

ROBUST SPEECH RECOGNITION

Shajith Ikbeil, Heiye Bourlard, Mathew Magimai.-Doss, 1DIAP Research Institute, Switzerland

SP-P4.11: ACOUSTIC FEATURE COMBINATION FOR ROBUST SPEECH RECOGNITION I - 457

Andrds Zolnay, RalfSchlueter, Hermann Ney, RWTH-Aachen Germany, Germany

SP-P4.12: ACOUSTIC TRAINING FROM HETEROGENEOUS DATA SOURCES: I - 461

EXPERIMENTS IN MANDARIN CONVERSATIONAL TELEPHONE SPEECH TRANSCRIPTION

Stavros Tsakalidis, Johns Hopkins University, United States; William Byrne, Cambridge University, United Kingdom

SP-P5: SPEECHMINING AND AUDIO-VISUAL INFORMATION PROCESSING

SP-P5.1: DYNAMICMATCH PHONE-LATTICE SEARCHES FORVERY FAST AND I - 465

ACCURATEUNRESTRICTED VOCABULARY KEYWORD SPOTTING

Kishan Thambiralnam, Sridha Sridharan, Queensland University ofTechnology, Australia

SP-P5.2: A STREAM-WEIGHT OPTIMIZATION METHOD FOR MULTI-STREAM HMMS I - 469

BASED ON LIKELIHOOD VALUE NORMALIZATION

Satoshi Tamura, Koji Iwano, Sadaoki Furui, Tokyo Institute of Technology, Japan

SP-P5.3: LIP READING FOR ROBUST SPEECH RECOGNITION ONEMBEDDED I - 473

DEVICES

Jesus Fernando Guitarte Perez, Siemens AG, Corporate Technology, Germany; Alejandro F. Frangi, Pompeii Fabra University,

Spain; Eduardo Lleida Solano, University ofZaragoza, Spain; Klaus Lukas, Siemens AG, Corporate Technology, Spain

SP-P5.4: NOVEL TECHNIQUES FOR TIME-COMPRESSING SPEECH: AN I - 477

EXPLORATORY STUDY

Simon Tucker, Steve Whittaker, University of Sheffield, United Kingdom

SP-P5.5: FAST TWO-STAGE VOCABULARY-INDEPENDENT SEARCH IN SPONTANEOUS I - 481

SPEECH

Peng Yu, Frank Seide, Microsoft Research Asia, China

JOT/7

SP-P5.6: AN HMM-BASED TEXT SEGMENTATION METHOD USING VARIATIONALBAYES I - 485

APPROACH AND ITS APPLICATION TO LVCSRFOR BROADCAST NEWS

Takafumi Koshinaka, Ken-ichi Iso, Akitoshi Okumura, NEC Corporation, Japan

SP-P5.7: DETECTING GROUP INTEREST-LEVEL IN MEETINGS I - 489

Daniel Gatica-Perez, Iain McCowan, Dong Zhang, Sainy Bengio, 1DIAP Research Institute, Switzerland

SP-P5.8: SEMANTIC DATA MINING OF SHORT UTTERANCES I - 493

Lee Begeja, AT&TLabs - Research, United States; Harris Drucker, Monmouth University, United States; David Gibbon, Patrick

Haffner, Zhu Liu, Bernard Renger, Behzad Shahraray, AT&TLabs - Research, United States

SP-P5.9: AUTOMATIC PROCESSING OF AUDIO LECTURES FOR INFORMATION I - 497

RETRIEVAL: VOCABULARY SELECTION AND LANGUAGEMODELING

Alex Park, Timothy Hazen, James Glass, MIT CSAIL, United States

SP-P5.10: BLIND CHANGEDETECTIONFOR AUDIO SEGMENTATION I - 501

Mohamed Omar, Upendra Chaudhari, Ganesh Ramaswamy, IBM, United States

SP-P5.11: COMBINING MULTIPLE SUBWORD REPRESENTATIONS FOR I - 505

OPEN-VOCABULARY SPOKEN DOCUMENTRETRIEVAL

Shi-wook Lee, National Institute ofAlST, Japan; Kazuyo Tanaka, University ofTsukuba, Japan; Yoshiaki Itoh, lwate Prefectural

University, Japan

SP-P5.12: ROBUST LIP-MOTION FEATURES FOR SPEAKER IDENTIFICATION I - 509

Hasan Ertan Cetingiil, Yucel Yemez, Engin Erzin, A. Murat Tekalp, Koc University, Turkey

SP-P6: FEATURE-BASED ROBUST SPEECH RECOGNITION

SP-P6.1: VARIATIONALBAYESIAN FEATURE SALIENCY FOR AUDIO TYPE I - 513

CLASSIFICATION

Fabio Valenle, Christian Wellekens, Eurecom Institute, France

SP-P6.2: PITCH-SYNCHRONOUS ZCPA (PS-ZCPA)-BASED FEATURE EXTRACTION WITH I - 517

AUDITORY MASKING

Muhammad Ghulam, Takashi Fukiida, Junsei Horikawa, Tsuneo Nitta, Toyohashi University of Technology, Japan

SP-P6.3: MFCC COMPENSATION FOR IMPROVED RECOGNITION OF FILTERED AND I - 521

BAND-LIMITED SPEECH

Nicolas Morales, Universidad Autonoma de Madrid, Spain; John H. L. Hansen, University of Colorado, Boulder, United Slates;

Doroteo T. Toleelano, Universidad Autonoma de Madrid, Spain

SP-P6.4: SPEECH FEATURE SMOOTHING FOR ROBUST ASR I - 525

Chia-Ping Chen, JeffBilmes, University ofWashington, United States; Daniel Ellis, Columbia University, United States

SP-P6.5: ON DESENSITIZING THE MEL-CEPSTRUM TO SPURIOUS SPECTRAL I - 529

COMPONENTSFOR ROBUST SPEECH RECOGNITION

Vivek Tyagi, Christian Wellekens, Institute Eurecom, France

SP-P6.6: TWO-STAGENOISE SPECTRA ESTIMATION AND REGRESSION BASED IN-CAR I - 533

SPEECHRECOGNITIONUSING SINGLE DISTANT MICROPHONE

Weifeng Li, Katunobu Itou, Kazuya Takeda, Nagoya University, Japan; Fumitaela Itakura, Meijo University, Japan

SP-P6.7: MASK ESTIMATION BASED ON SOUND LOCALISATION FOR MISSING DATA I - 537

SPEECH RECOGNITION

Sue Harding, Jon Barker, Guy J. Brown, University ofSheffield, United Kingdom

SP-P6.8: SPEECH PROCESSING USING JOINT FEATURES DERIVED FROM THE I - 541

MODIFIED GROUP DELAY FUNCTION

Rajesh Hegde, Hema Murthy, Indian Institute of Technology, India; Gaclde V. Ramana Rao, SRI International, United States

xxiv

SP-P6.9: INFLUENCE OF AUTOCORRELATION LAG RANGES ON ROBUST SPEECH I - 545

RECOGNITION

Benjamin J. Shannon, Kuldip K. Paliwal, Griffith University, Australia

SP-P6.10: SUBSPACE-BASED SPEAKER-INDEPENDENTVOWEL RECOGNITION I - 549

R. Muralishankar, Douglas O'Shaughnessy, University of Quebec, Canada

SP-P6.11: ROBUSTSPEECH RECOGNITION BASED ON SPECTRAL ADJUSTING AND I - 553

WARPING

Rui Zhao, Zuoying Wang, Tsinghua University, China

SP-P6.12: ROBUST SPEECH ACTIVITY DETECTION USING LDA APPLIED TO FF I - 557

PARAMETERS

Jaume Padrell, Dusan Macho, Climent Nadeu, Universitat Politecnica de Catalunya, Spain

SP-P7: LANGUAGE MODELING AND IDENTIFICATION

SP-P7.1: JOINT DISCRIMINATIVE LANGUAGE MODELING AND UTTERANCE I - 561

CLASSIFICATION

Murat Saraclar, AT&TLabs - Research, United States; Brian Roark, OG1 at Oregon Health & Science University, United States

SP-P7.2: LANGUAGEMODEL ESTIMATION FOR OPTIMIZING END-TO-END I - 565

PERFORMANCE OF ANATURAL LANGUAGE CALL ROUTING SYSTEM

Vaibhava Goel, IBM, United States; Hong-Kwang (Jeff) Kuo, IBM T. J. Watson Research Center, United States; Sabine Deligne,

Cheng Wu, IBM, United States

SP-P7.3: LANGUAGE IDENTIFICATION USING PHONETIC AND PROSODIC HMMS WITH I - 569

FEATURENORMALIZATION

Yasunari Obuchi, Nobuo Sato, Hitachi Ltd., Japan

SP-P7.4: RAPID LANGUAGE MODEL DEVELOPMENTUSING EXTERNAL RESOURCES I - 573

FORNEW SPOKEN DIALOG DOMAINS

Ruhi Sarikaya, IBM T. J. Watson Research Center, United States; Agustin Gravano, Columbia University, United States; YuqingGao, IBM T. J. Watson Research Center, United States

SP-P7.5: USING LOCAL & GLOBAL PHONOTACTICFEATURES IN CHINESE DIALECT I - 577

IDENTIFICATION

Boon Pang Lim, Haizhou Li, Bin Ma, Institutefor Infocomm Research, Singapore

SP-P7.6: RANDOM CLUSTERINGS FOR LANGUAGEMODELING I - 581

Ahmad Emami, Frederick Jelinek, Johns Hopkins University, United States

SP-P7.7: DIALECT/ACCENT CLASSIFICATION VIA BOOSTED WORDMODELING I - 585

Rongqing Huang, University of Colorado at Boulder, United States; John H. L. Hansen, University ofColorado, Boulder, United

States

SP-P7.8: WEB-DATA AUGMENTED LANGUAGEMODELS FOR MANDARIN I - 589

CONVERSATIONAL SPEECHRECOGNITION

Tim Ng, Mari Ostendoif, Mei-Yuh Hwang, University of Washington, United States; Manhung Siu, Hong Kong University of

Science and Technology, Hong Kong SAR ofChina; Ivan Bulyko, Xin Lei, University of Washington, UnitedStates

SP-P7.9: AN EFFICIENT ALGORITHM FOR CLUSTERING SHORT SPOKEN I - 593

UTTERANCES

Zhu Liu, AT&T Labs - Research, United States

SP-P7.10: MAXIMUM ENTROPY BASED GENERIC FILTER FORLANGUAGE MODEL I - 597

ADAPTATION

Dong Yu, Mil'md Mahajan, Peter Mau, Alex Acero, Microsoft Research, United States

xx\i

SP-P7.11: LANGUAGE IDENTIFICATION USING PITCH CONTOUR INFORMATION I - 601

Chi-Yueh Lin, Hsiao-Chuan Wang, National Tsing Hua University, Taiwan

SP-P7.12: INTEGRATING MULTIPLE LAYERS OF CONCEPT INFORMATION INTO I - 605

N-GRAM MODELING FOR SPOKEN LANGUAGE UNDERSTANDING

Nick J.-C. Wang, Delta Electronics, Inc., Taiwan

SP-P7.13: AUTOMATIC LANGUAGE IDENTIFICATION USING ERGODIC HMM I - 609

S. A. SantoshKumar, V. Ramasubramanian, Indian Institute ofScience, India

SP-P8: TEXT-INDEPENDENT SPEAKER RECOGNITION

SP-P8.1: DISCRIMINATIVEPOWER OF TRANSIENTFRAMES IN SPEAKER I - 613

RECOGNITION

Jerdme Louradour, Khalid Daoudi, Regine Andrd-Obrecht, IRIT - University Paul Sabatier, France

SP-P8.2: SPEAKER IDENTIFICATION IN UNKNOWN NOISY CONDITIONS - A I - 617

UNIVERSAL COMPENSATION APPROACH

Ji Ming, Danyl Stewart, Queen's University Belfast, United Kingdom; Saeeel Vaseghi, Brunei University, United Kingdom

SP-P8.3: EXTRACTING ADDITIONAL INFORMATION FROM GAUSSIAN MIXTURE MODEL I - 621

PROBABILITIES FOR IMPROVED TEXT-INDEPENDENT SPEAKER IDENTIFICATION

Balakrishnan Narayanaswamy, Carnegie Mellon University, United States; Rashmi Gangadharaiah, Indian Institute ofScience,India

SP-P8.4: COMBINING SELECTION TREE WITH OBSERVATION REORDERING I - 625

PRUNING FOR EFFICIENT SPEAKER IDENTIFICATION USING GMM-UBM

Zhenyu Xiong, Thomas Zheng, Tsinghua University, China; Zhanjieing Song, Beijing d-Ear Technologies Co., Ltd., China; Wenhu

Wu, Tsinghua University, China

SP-P8.5: ADVANCES IN CHANNEL COMPENSATION FOR SVMSPEAKER RECOGNITION I - 629

Alex Solomonoff, William Campbell, Ian Boardman, MIT Lincoln Laboratory, United Stales

SP-P8.6: IMPROVED SPEAKER MODEL MIGRATION VIA STOCHASTIC SYNTHESIS I - 633

Jiri'Navrdtil, Ganesh Ramaswamy, IBM T. J. Watson Research Center, United Stales

SP-P8.7: FACTOR ANALYSIS SIMPLIFIED I - 637

Patrick Kenny, Gilles Boulianne, Pierre Ouellel, Pierre Dumouchel, CRIM, Canada

SP-P8.8: MINIMUM CLASSIFICATION ERROR INTERACTIVE TRAINING FOR SPEAKER I - 641

IDENTIFICATION

Yusuke Kida, Kyoto University, Japan; Hiroyoshi Yamamoto, Nagoya Institute of Technology, Japan; Chiyomi Miyajima, NagoyaUniversity, Japan; Keiichi Tokuda, Tadashi Kitamura, Nagoya Institute ofTechnology, Japan

SP-P8.9: A NEW COMMON COMPONENT GMM-BASED SPEAKER RECOGNITION I - 645

METHOD

Yih-Ru Wang, Chen-Yu Chiang, National Chiao Tung University, Taiwan

SP-P8.10: GMM-BASED BHATTACHARYYA KERNEL FISHER DISCRIMINANT ANALYSIS I - 649

FOR SPEAKER RECOGNITION

Yi-Hsiang Chao, Hsin-Min Wang, Ruei-Chuan Chang, Academia Sinica, Taiwan

SP-P8.11: A STUDY OF THE RELATIVE IMPORTANCE OF TEMPORAL CHARACTERISTICS I - 653

IN TEXT-DEPENDENT AND TEXT-CONSTRAINED SPEAKER VERIFICATION

James Nealand, RMIT, Australia; Jason Peleceinos, Ran Zilca, Ganesh Ramaswamy, IBM T. J. Watson Research Center, United

Slates

SP-P8.12: NOISE ROBUST SPEAKER VERIFICATION USING MEL-FREQUENCY I - 657

DISCRETE WAVELET COEFFICIENTS AND PARALLEL MODEL COMPENSATION

Zekeriya Tufekci, Izmir Institute of Technology, Turkey; Sabri Gurbuz, Harran University, Turkey

xxvi

SP-P9: ACOUSTIC MODELING AND CLUSTERING ALGORITHMS

SP-P9.1: INITIALIZING SUBSPACE CONSTRAINED GAUSSIAN MIXTUREMODELS I - 661

Peder Olsen, Karthik Visweswariah, Ramesh Gopinath, IBM, United States

SP-P9.2: MULTI-RATE AND VARIABLE-RATE MODELING OF SPEECH AT PHONE AND I - 665

SYLLABLE TIME SCALES

Ozgiir Cetin, Mari Ostendorf, University of Washington, United States

SP-P9.3: OPTIMAL CLUSTERING AND NON-UNIFORM ALLOCATION OF GAUSSIAN I - 669

KERNELS IN SCALAR DIMENSION FORHMM COMPRESSION

Xiao-Bing Li, Frank K. Soong, ATR Spoken Language Translation Research Labs, Japan; Tor Andre Myrvoll, NorwegianUniversity ofScience and Technology, Norway; Ren-Hua Wang, University ofScience and Technology ofChina, China

SP-P9.4: HIERARCHICAL CORRELATION COMPENSATION FOR HIDDEN MARKOV I - 673

MODELS

Hui Lin, Tsinghua University, China; Ye Tian, JianLai Zhou, Microsoft Research Asia, China; Hui Jiang, York University,

Canada

SP-P9.5: CLUSTER-DEPENDENT ACOUSTIC MODELING I - 677

Bing Xiang, Long Nguyen, Spyros Matsoukas, Richard Schwartz, BBN Technologies, United States

SP-P9.6: FUZZY PARAMETER CLUSTERINGMETHOD IN SPEECH RECOGNITION I - 681

Xianghua Xu, .lie Zhu, Shanghai Jiaotong University, China

SP-P9.7: AUTOMATIC TRAINING SET SEGMENTATIONFOR MULTI-PASS SPEECH I - 685

RECOGNITION

Mark Mao, Stanford University, United States; Vincent Vanhoucke, Brian Strope, Nuance Communications, United States

SP-P9.8: GENERALIZED STATISTICAL MODELING OF PRONUNCIATION VARIATIONS I - 689

USING VARIABLE-LENGTH PHONE CONTEXT

Yuya Akila, Tatsuya Kawahara, Kyoto University, Japan

SP-P9.9: ON INITIALIZATION OF GAUSSIAN MIXTURES: A HYBRID GENETICEM I - 693

ALGORITHM

Franz Pemkopf, Graz University ofTechnology, Austria

SP-P9.10: ACOUSTIC MODEL TRAINING USING GREEDY EM I - 697

Rusheng Hu, Xiaolong Li, Yunxin Zhao, University ofMissouri-Columbia, United States

SP-P9.11: MODELING SUCCESSIVE FRAME DEPENDENCIES WITH HYBRID HMM/BN I - 701

ACOUSTIC MODEL

Konstantin Markov, Satoshi Nakamura, ATR Spoken Language Translation Research Labs, Japan

SP-P9.12: IMPROVED COVARIANCE MODELING FORMAXIMUM LIKELIHOOD I - 705

MULTIPLE SUBSPACE TRANSFORMATIONS

Xi Zhou, University of Science and Technology ofChina, China; Ye Tian, JianLai Zhou, Microsoft Research Asia, China; Bei-

qian Dai, University ofScience and Technology of China, China

SP-P10: TOPICS IN SPEAKER RECOGNITION

SP-P10.1: A PROBABILISTIC MEASURE OF MODALITY RELIABILITY IN SPEAKER I - 709

VERIFICATION

Jonas Richiardi, Plamen Prodanov, Andrzej Diygajlo, Swiss Federal Institute of Technology (EPFL), Switzerland

SP-P10.2: A CORRELATION METRIC FOR SPEAKER TRACKING USINGANCHOR I - 713

MODELS

Mikael Collet, Delphine Charlet, France Telecom R&D, France; Frederic Bimbot, IR1SA (CNRS & INRIA), France

xxvu

SP-P10.3: ESTIMATING AND EVALUATING CONFIDENCEFORFORENSIC SPEAKER I - 717

RECOGNITION

William Campbell, Douglas Reynolds, Joseph Campbell, Kevin Brady, MIT Lincoln Laboratory, United Slates

SP-P10.4: F-RATIO CLIENT-DEPENDENT NORMALISATION FOR BIOMETRIC I - 721

AUTHENTICATION TASKS

Norman Poh, Samy Bengio, ID1AP Research Institute, Switzerland

SP-P10.5: CLUSTERING SPEECH UTTERANCES BY SPEAKERUSING I - 725

EIGENVOICE-MOTIVATED VECTOR SPACE MODELS

Wei-Ho Tsai, Shih-Sian Cheng, Yi-Hsiang Chao, Hsin-Min Wang, Academia Sinica, Taiwan

SP-P10.6: T-NORM FOR TEXT-DEPENDENT COMMERCIAL SPEAKER VERIFICATION I - 729

APPLICATIONS: EFFECT OF LEXICAL MISMATCH

Matthieu Hebert, Daniel Boies, Nuance Communication, Canada

SP-P10.7: A SESSION-GMM GENERATIVE MODEL USING TEST UTTERANCE GAUSSIAN I - 733

MIXTURE MODELING FOR SPEAKER VERIFICATION

Hagai Aronowitz, Bar-Han University, Israel; David Burshtein, Tel-Aviv University, Israel; Amihood Amir, Bar-Han University,Israel

SP-P10.8: ALIZE, A FREE TOOLKIT FOR SPEAKER RECOGNITION I - 737

Jean-Francois Bonastre, Frederic Wils, University ofAvignon, France; Sylvain Meignier, University of Maine, France

SP-P10.9: SPEAKER ADAPTIVE COHORTSELECTION FOR TNORM IN I - 741

TEXT-INDEPENDENT SPEAKER VERIFICATION

Douglas Sturirn, Douglas Reynolds, MIT Lincoln Laboraloiy, United Slates

SP-P10.10: HYBRID SPEAKER-BASED SEGMENTATION SYSTEM USING MODEL-LEVEL I - 745

CLUSTERING

Hyoung-Gook Kim, Daniel Ertelt, Thomas Sikora, Technical University ofBerlin, Germemy

SP-P10.11: ROBUSTNESS OF BIT-STREAM BASED FEATURES FOR SPEAKER I - 749

VERIFICATION

Antonio Moreno-Daniel, Biing-Hwang (Fred) Juang, Georgia Institute ofTechnology, United Stales; Juan Arluro Nolazco-

Flores, lnstituto Tecnologico de Monterrey (1TESM), Mexico

SP-P10.12: TWO-WAY CLUSTER VOTINGTO IMPROVE SPEAKER DIARISATION I - 753

PERFORMANCE

Sue Tranter, Cambridge University, United Kingdom

SP-P10.13: SPEAKER DETECTION WITHOUT MODELS I - 757

Daniel Gillick, Stephen Stafford, Barbara Peskin, Berkeley, United States

SP-P11: TOPICS IN SPEECH CODING AND ENHANCEMENT

SP-P11.1: IMPROVING THE 2.4 KB/S MILITARY STANDARDMELP (MS-MELP) CODER I - 761

USING PITCH-SYNCHRONOUS ANALYSIS AND SYNTHESIS TECHNIQUESAli Erdem Ertan, Thomas P. Barnwell III, Georgia Institute ofTechnology, United Slates

SP-P11.2: ULTRA LOW BIT RATE SPEECH CODING USING AN ERGODIC HIDDEN I - 765

MARKOV MODEL

Matthew Lee, Adriane Durey, Elliot Moore, Mark Clements, Georgia Institute ofTechnology, United Slates

SP-P11.3: TOWARDS ILBC SPEECH CODING AT LOWER RATES THROUGH A NEW I - 769

FORMULATION OF THE START STATE SEARCH

Christopher M. Garrido, Manohar N. Murlhi, University of Miami, United States; S0ren Vang Andersen, Aalborg University,Denmark

xxvin

SP-P11.4: A MISSING-DATA APPROACH TO NOISE-ROBUST LPC EXTRACTIONFOR I

VOICED SPEECH USING AUXILIARY SENSORS

Cenk Demiroglu, Thomas P. Barnwell 111, Georgia Institute ofTechnology, United States

SP-P11.5: A TECHNIQUEOF MULTI-TAP LONG TERMPREDICTOR (LTP) FILTER I

USING SUB-SAMPLE RESOLUTION DELAY

Mark Jasiuk, Tenkasi Ramabadran, UdarMittal, James Ashley, Michael McLaughlin, Motorola Labs, United States

SP-P11.6: VOICE ACTIVITY DETECTIONBASED ON GENERALIZED GAMMA I

DISTRIBUTION

Jong Won Shin, Seoul National University, Republic of Korea; Joon-Hyuk Chang, University of California, Santa Barbara,

United States; Hwan Sik Yun, Nam Soo Kim, Seoul National University, Republic ofKorea

SP-P11.7: INCREASING THE ROBUSTNESS OF CELP-BASED CODERS BY I

CONSTRAINED OPTIMIZATION

Mohamed Chibani, Philippe Gournay, Roch Lefebvre, University of Sherbrooke, Canada

SP-P11.8: JOINT OPTIMIZATION OF EXCITATION PARAMETERS IN I

ANALYSIS-BY-SYNTHESIS SPEECH CODERS HAVING MULTI-TAP LONG TERMPREDICTOR

Udar Mittal, James Ashley, Edgardo Cruz-Zeno, Mark Jasiuk, Motorola Labs, United States

SP-P11.9: BLOCK-BASED BANDWIDTH EXTENSION OF NARROWBAND SPEECH SIGNAL I

BY USING CDHMM

Sheng Yao, Cheung-Fat Chan, City University ofHong Kong, Hong Kong SAR of China

SP-P11.10: SEGMENTATION-BASED SPEECHENHANCEMENT FOR INTELLIGIBILITY I

IMPROVEMENT IN MELP CODERS USING AUXILIARY SENSORS

Cenk Demiroglu, Sunil Kamath, David Anderson, Georgia Institute ofTechnology, United States

SP-P11.11: STOCHASTIC INTEGRATION AND LONG TERMPREDICTOR ESTIMATION I

UNDER NOISY CONDITIONS FOR SPEECH ENHANCEMENT

Marcin KuropaWinski, Bastiaan Kleijn, KTH (Royal Institute of Technology), Sweden

SP-P11.12: A ROBUST NARROWBAND TO WIDEBAND EXTENSION SYSTEMFEATURING I

ENHANCED CODEBOOKMAPPING

Takahiro Unno, Texas Instruments, United States; Alan McCree, MIT Lincoln Laboratory, United States

SP-P11.13: ARTIFICIAL BANDWIDTH EXPANSION METHOD TO IMPROVE I

INTELLIGIBILITY AND QUALITYOF AMR-CODED NARROWBAND SPEECH

Laura Laaksonen, Nokia Research Center, Finland; Juho Kontio, Paavo Alku, Helsinki University ofTechnology, Finland

SP-P11.14: A SOFT DECISION BASED NOISE CROSS POWERSPECTRAL DENSITY I

ESTIMATION FOR TWO-MICROPHONESPEECH ENHANCEMENTSYSTEMS

Xuefeng Zhang, Ying Jia, Intel China Research Center, China

SP-P12: LARGE VOCABULARY ASR

SP-P12.1: LATTICE SEGMENTATION AND SUPPORT VECTOR MACHINES FORLARGE I

VOCABULARY CONTINUOUS SPEECH RECOGNITION

Veera Venkataramani, Johns Hopkins University, United States; William Byrne, Cambridge University, United Kingdom

SP-P12.2: FIRST STEPS IN FAST ACOUSTIC MODELING FOR A NEW TARGET I

LANGUAGE: APPLICATION TO VIETNAMESE

Viet-BacLe, Laurent Besacier, CLIPS /IMAG, France

SP-P12.3: CROSS DOMAIN AUTOMATIC TRANSCRIPTION ONTHE TC-STAR EPPS I

CORPUS

Christian Gollan, Maximilian Bisani, Slephan Kanthak, RalfSchluter, Hermann Ney, RWTH-Aachen Germany, Germany

xxix

SP-P12.4: USING RULE-BASED KNOWLEDGE TO IMPROVE LVCSR I - 829

Rene Beutler, Tobias Kaufmann, Beat Pfister, ETH, Switzerland

SP-P12.5: ADAPTATION STRATEGIES FORTHE ACOUSTIC AND LANGUAGE MODELS IN I - 833

BILINGUAL SPEECH TRANSCRIPTION

Javier Dieguez-Tiraclo, Carmen Garcia-Mateo, Laura Docio-Fernandez, Antonio Cardenal-Lopez, ETSI Telecomunicacion,

Spain

SP-P12.6: A STUDY ON KNOWLEDGESOURCE INTEGRATION FOR CANDIDATE I - 837

RESCORING IN AUTOMATIC SPEECH RECOGNITION

JinyuLi, YuTsao, Chin-Hui Lee, Georgia Institute ofTechnology, United States

SP-P12.7: DEVELOPMENT OF THE CUHTK 2004 MANDARIN CONVERSATIONAL I - 841

TELEPHONE SPEECH TRANSCRIPTION SYSTEM

Mark J. F. Gales, Bin Jia, Andrew Liu, Khe Chai Sim, Phi! Woodland, Kai Yu, Cambridge University, United Kingdom

SP-P12.8: BAYESIAN MODEL COMBINATION (BAYCOM) FOR IMPROVED I - 845

RECOGNITION

Ananth Sankar, Nuance Communications, United Stales

SP-P12.9: INVESTIGATION OF ACOUSTIC MODELING TECHNIQUES FORLVCSR I - 849

SYSTEMS

Xunying Liu, Mark J. F. Gales, Khe Chai Sim, Kai Yu, Cambridge University, United Kingdom

SP-P12.10: IMPROVED CONFUSION NETWORK ALGORITHM AND SHORTEST PATH I - 853

SEARCH FROM WORD LATTICE

Jian Xue, Yunxin Zhao, University ofMissouri-Columbia, United Stales

SP-P12.11: THAI AUTOMATIC SPEECHRECOGNITION I - 857

Sinapom Suebvisai, Paisam Charoenpornsawat, Alan W. Black, Carnegie Mellon University, United States; Monika Woszczyna,Multimodal Technologies, Inc., United States; Tanja Schultz, Carnegie Mellon University, United States

SP-P12.12: DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION I - 861

SYSTEMS

Do Yeong Kim, Ho Yin Chan, Gunnar Evermann, Mark J. F. Gales, David Mrva, Khe Chai Sim, Phil Woodland, CambridgeUniversity, United Kingdom

SP-P12.13: CROSS-LANGUAGE ACOUSTIC MODEL REFINEMENT FORTHEINDONESIAN I - 865

LANGUAGE

Terrence Martin, Sridha Sridharan, Queensland University of Technology, Austredia

SP-P13: SPEECH ANALYSIS AND PRODUCTION

SP-P13.1: ANALYSIS OF SPECTRAL MEASURES FOR VOICED SPEECH WITH VARYING I - 869

NOISE AND PERTUBATION LEVELS

Eoin O'Leidhin, Peter Murphy, University ofLimerick, Ireland

SP-P13.2: AUTOMATIC DYSPHONIA RECOGNITION USING BIOLOGICALLY-INSPIRED I - 873

AMPLITUDE-MODULATION FEATURES

Nicolas Malyska, Thomas Quatieri, Douglas Sturim, MIT Lincoln Laboratory, United States

SP-P13.3: VOICED/UNVOICED DETERMINATION OFSPEECH SIGNAL IN NOISY I - 877

ENVIRONMENT USING HARMONICITY MEASURE BASED ON INSTANTANEOUS FREQUENCYDhany Arifianto, Takao Kobayashi, Tokyo Institute of Technology, Japan

SP-P13.4: SNR AND LOCAL NOISE POWER ESTIMATIONS BASED ONGAUSSIAN I - 881

MIXTURE MODELING ON THE LOG-POWER DOMAIN

Kazuya Takeda, Tran Huy Dal, Hiroshi Fujimura, Fumitada Itakura, Nagoya University, Japan

xxx

SP-P13.5: DETECTION OF SYMBOLIC GESTURAL EVENTS IN ARTICULATORY DATA 1. 885FOR USE IN STRUCTURAL REPRESENTATIONS OF CONTINUOUS SPEECHAlexander Gutkin, Simon King, University ofEdinburgh, United Kingdom

SP-P13.6: MATHEMATICALEVIDENCE OF THE ACOUSTIC UNIVERSAL STRUCTURE IN I - 889SPEECH

Nobuaki Minematsu, University of Tokyo, Japan

SP-P13.7: MODELING OF THE FRONT CAVITY AND SUBLINGUAL SPACE IN AMERICAN I - 893ENGLISH RHOTIC SOUNDS

Zhaoyan Zhang, Carol Espy-Wilson, University ofMaryland, United States; Suzanne Boyce, University of Cincinnati, United

States; Mark Tiede, Haskins Laboratories, United States

SP-P13.8: OBJECTIVE QUALITY MEASURES FOR GLOTTAL INVERSE FILTERING OF I - 897

SPEECH PRESSURE SIGNALS

Tom Bdckstrom, MattiAiras, Laura Lehto, Paavo Alku, Helsinki University of Technology, Finland

SP-P13.9: EFFECTS OF GLOTTAL AND LIP BOUNDARY CONDITIONS ON VOCAL-TRACT I - 901

AREA FUNCTION ESTIMATESFROMSPEECH SIGNALS

Huiqun Deng, Rabab K. Ward, Michael Beddoes, Murray Hodgson, University ofBritish Columbia, Canada

SP-P13.10: ADAPTIVE FILTERBANKS INSPIRED BY THE AUDITORY SYSTEMFOR I - 905SPEECH FEATURE EXTRACTION

Ramdas Kumaresan, Gopi Krishna Allu, University ofRhode Island, United States; Peter Cariani, Tufts Medical School, United

States

SP-P13.11: MULTI-SPEAKERARTICULATORY RECONSTRUCTIONBASED ON AN EIGEN I - 909

ARTICULATORYHMM

Sadao Hiroya, Tetkemi Mochida, NTT Communication Science Laboratories, Japan

SP-P13.12: A GRAPHICAL MODEL FORFORMANT TRACKING I - 913

Jonathan Malkin, Xiao Li, JeffBilmes, University of Washington, United States

SP-P13.13: DYSPHONIC SPEECH ANALYSIS USING GENERALIZED VARIOGRAM I - 917

Abdellah Kacha, Francis Grenez, Jean Schoentgen, Universite Libre de Bruxelles, Belgium; KhierBenmahammed, Universite de

Setif Algeria

SP-P14: FEATURE EXTRACTION AND MODELING

SP-P14.1: TRAINING WIDEBAND ACOUSTIC MODELS USING MIXED-BANDWIDTH I - 921

TRAINING DATA VIA FEATURE BANDWIDTH EXTENSION

Michael Seltzer, AlexAcero, Microsoft Research, United States

SP-P14.2: MINIMUM PHONEMEERROR BASED HETEROSCEDASTIC LINEAR I - 925

DISCRIMINANT ANALYSIS FOR SPEECH RECOGNITION

Bing Zhang, Northeastern University, United States; Spyros Matsoukas, BBN Technologies, United States

SP-P14.3: A STUDY OF AUDITORY MODELING AND PROCESSING FOR SPEECH I - 929

SIGNALS

Woojay Jeon, Biing-Hwang (Fred) Juang, Georgia Institute ofTechnology, United Stales

SP-P14.4: A WAVELETAND FILTER BANKFRAMEWORK FOR PHONETIC I - 933

CLASSIFICATION

Ghinwa Choueiter, James Glass, Massachusetts Institute ofTechnology, United States

SP-P14.5: AUTOMATIC SYLLABLE STRESS DETECTION USING PROSODIC FEATURES I - 937

FORPRONUNCIATION EVALUATION OF LANGUAGE LEARNERS

Joseph Tepperman, Shrikanth Narayanan, University ofSouthern California, United States

xxxi

SP-P14.6: PREDICTINGFORMANT FREQUENCIES FROM MFCC VECTORS I - 941

Jonathan Darch, Ben Milner, Xu Shao, University of East Anglia, United Kingdom; Saeed Vaseghi, Qin Yan, Brunei University,

United Kingdom

SP-P14.7: TONOTOPIC MULTI-LAYERED PERCEPTRON: A NEURAL NETWORKFOR I - 945

LEARNING LONG-TERM TEMPORALFEATURES FOR SPEECH RECOGNITION

Barry Chen, Qifeng Zhu, Nelson Morgan, University' of California Berkeley, United Stales

SP-P14.8: TOWARDS AN INTELLIGENT ACOUSTIC FRONT-END FOR AUTOMATIC I - 949

SPEECH RECOGNITION: BUILT-IN SPEAKER NORMALIZATION (BISN)

Umil Yapanel, University ofColorado at Boulder, United Slates; John H. L. Hansen, University ofColorado, Boulder, United

States

SP-P14.9: QUASI-CONTINUOUS LOCAL CODEBOOKFEATURES FOR MULTILINGUAL I - 953

ACOUSTIC PHONETIC MODELLING

Frank Diehl, Asuncidn Moreno, Universitat Politecnica de Catalunya, Spain

SP-P14.10: GARCH COEFFICIENTS AS FEATUREFORSPEECH RECOGNITIONIN I - 957

PERSIAN ISOLATED DIGIT

MohamadAbdolahi, Hamidreza Amindavar, Amirkabir University ofTechnology, Iran (Islamic Republic of)

SP-P14.11: FMPE: DISCRIMINATIVELY TRAINED FEATURES FOR SPEECH I - 961

RECOGNITION

Daniel Povey, Brian Kingsbury, Lidia Mangu, George Saon, Hagen Sollau, Geoffrey Zweig, IBM, United States

SP-P15: ADAPTATION AND NORMALIZATION

SP-P15.1: VARIATIONAL BAYESIAN ADAPTATION FOR SPEAKER CLUSTERING I - 965

Fabio Valente, Christian Wellekens, Institut Eurecom, France

SP-P15.2: AUTOMATIC DISFLUENCY REMOVAL ON RECOGNIZED SPONTANEOUS I - 969

SPEECH - RAPID ADAPTATION TO SPEAKER DEPENDENT DISFLUENCIES

Matthias Honal, Universitat Karlsruhe, Germany; Tanja Schultz, Carnegie Mellon University, United Stales

SP-P15.3: AGGREGATEA POSTERIORI LINEAR REGRESSION FOR SPEAKER ADAPTATION I - 973

Chih-Hsien Huang, Jen-Tz.ung Chien, National Cheng Kung University, Taiwan

SP-P15.4: TWO-STAGE SPEAKER ADAPTATION OF HYBRID TIED-POSTERIOR ACOUSTIC I - 977

MODELS

Jan Sladermann, Gerhard Rigoll, Technische Universitat Miinchen, Germany

SP-P15.5: VARIOUS REFERENCE SPEAKERS DETERMINATION METHODS FOR I - 981

EMBEDDED KERNEL EIGENVOICE SPEAKER ADAPTATION

Brian Mak, Simon Ho, Hong Kong University ofScience and Technology, Hong Kong SAR of China

SP-P15.6: KERNEL EIGENSPACE-BASED MLLRADAPTATION USING MULTIPLE I - 985

REGRESSION CLASSES

Roger Hsiao, Brian Mak, Hong Kong University ofScience and Technology, Hong Kong SAR of China

SP-P15.7: AUTOMATICALLY TRANSCRIBING MEETINGS USING DISTANT I - 989

MICROPHONES

Florian Metze, Christian Ftlgen, Universitat Karlsruhe (TH), Germany; Yue Pan, Waibel Alexander, Carnegie Mellon University,United Stales

SP-P15.8: A NOVEL METHOD FOR RAPID SPEAKERADAPTATION BASED ON SUPPORT I - 993

SPEAKER WEIGHTING

Tie Cai, Jie Zhu, Shanghai Jiaolong University, China

SP-P15.9: ADAPTIVE TRAINING USING SIMPLE TARGET MODELS I - 997

Georg Slemmer, Fabio Britgnara, Diego Giuliani, ITC-irst, Italy

xxxi I

SP-P15.10: LEARNING PRONUNCIATION AND FORMULATION VARIANTS IN I -1001CONTINUOUS SPEECH APPLICATIONS

Daniele Colibro, Luciano Fissore, Cosmin Popovici, Claudio Vair, Loquendo, Italy; Pietro Laface, Politecnico di Torino, Italy

SP-P15.11: ALTERNATE PHONE MODELS FOR CONVERSATIONAL SPEECH I -1005Lori Lamel, Jean-Luc Gauvain, CNRS-LIMSI, France

SP-P15.12: WHISPERY SPEECH RECOGNITION USING ADAPTED ARTICULATORY I -1009FEATURES

Szu-Chen Jou, Tanja Schultz, Alex Waibel, Carnegie Mellon University, United States

SP-P16: TOPICS IN SPEECH PROCESSING AND SYSTEMS

SP-P16.1: OPEN VOCABULARY ASR FOR AUDIOVISUALDOCUMENT INDEXATION I -1013Alexandre Allauzen, Jean-Luc Gauvain, LIMSI-CNRS, France

SP-P16.2: CONSTRAINED PHRASE-BASED TRANSLATION USING WEIGHTED FINITE I -1017

STATE TRANSDUCER

Bowen Zhou, Stanley Chen, Yuqing Gao, IBM T. J. Watson Research Center, United States

SP-P16.3: UNSUPERVISEDVOCABULARY EXPANSION FOR AUTOMATIC I -1021

TRANSCRIPTION OF BROADCAST NEWS

Katsutoshi Ohtsuki, Nobuaki Hiroshima, Masahiro Oku, Akihiro Imamura, NTT Corporation, Japan

SP-P16.4: CLASSIFICATION OF STRUCTUREDDESCRIPTIONS I -1025

Srinivas Bangalore, AT&T Labs - Research, United Slates; Owen Rainbow, Columbia University, United States

SP-P16.5: MAXIMUM ENTROPY SEGMENTATION OF BROADCAST NEWS I -1029

Heidi Christensen, BalaKrishna Kolluru, Yoshihiko Gotoh, University ofSheffield, United Kingdom; Steve Renals, University ofEdinburgh, United Kingdom

SP-P16.6: THE AT&T WATSON SPEECH RECOGNIZER I -1033

Vincent Goffin, CyrilAllauzen, Enrico Bocchieri, Dilek Hakkani-Tur, Andre] Ljolje, Sarangarajan Parthasarathy, Mazin Rahim,

Giuseppe Riccardi, Murat Saraclar, AT&TLabs - Research, United States

SP-P16.7: OPEN VOCABULARY CHINESENAME RECOGNITION WITH THEHELP OF I -1037

CHARACTER DESCRIPTION AND SYLLABLE SPELLING RECOGNITION

Ching-Ho Tsai, NickJ.-C. Wang, Patrick Huang, Jia-Lin Shen, Delia Electronics, Inc., Taiwan

SP-P16.8: ERROR PREDICTION IN SPOKEN DIALOG: FROM SIGNAL-TO-NOISE RATIO I -1041

TO SEMANTIC CONFIDENCESCORES

Dilek Hakkani-Tur, Gokhan Tur, Giuseppe Riccardi, AT&TLabs - Research, United States; Hong KookKim, Gwangju Institute

ofScience and Technology, Republic ofKorea

SP-P16.9: INCORPORATING DIALOGUE CONTEXT AND TOPIC CLUSTERING IN I -1045

OUT-OF-DOMAINDETECTION

Ian Lane, Tatsuya Kawahara, Kyoto University, Japan

SP-P16.10: STRUCTURING BASEBALL LIVE GAMES BASED ON SPEECH RECOGNITION I -1049

USING TASK DEPENDENT KNOWLEDGEAND EMOTION STATE RECOGNITION

Atsushi Sako, Yasuo Ariki, Kobe University, Japan

SP-P16.11: A NEWASR EVALUATION MEASUREAND MINIMUM BAYES-RISK DECODING I -1053

FOR OPEN-DOMAIN SPEECH UNDERSTANDING

Hiroaki Nanjo, Ryukoku University, Japan; Tatsuya Kawahara, Kyoto University, Japan

SP-P16.12: SPEECHRECOGNITION OF A NAMEDENTITY I -1057

Tatsuhiko Tomila, Waseda University, Japan; Yoshiyuki Okimolo, Matsushita Electric Industrial Co., Ltd., Japan; HirofumiYamamoto, ATR Spoken Language Translation Research Labs, Japan; Yoshinori Sagisaka, Waseda University, Japan

xxxiii

SP-P16.13: AUTOMATIC DIALOG ACT SEGMENTATION AND CLASSIFICATION IN I -1061

MULTIPARTY MEETINGS

Jeremy Aug, Yang Liu, Elizabeth Shriberg, International Computer Science Institute, United States

SP-P16.14: SENTENCE EXTRACTION-BASED PRESENTATION SUMMARIZATION I -1065

TECHNIQUES AND EVALUATION METRICS

Makolo Hirohata, Yousuke Shinnaka, Kofi Iwano, Saelaoki Furui, Tokyo Institute of Technology, Japan

SP-P17: TOPICS IN SPEECH ENHANCEMENT, SEPARATION AND DEREVERBERATION

SP-P17.1: BLIND DEREVERBERATION BASED ON ESTIMATES OF SIGNAL I -1069

TRANSMISSION CHANNELS WITHOUT PRECISEINFORMATION OF CHANNEL ORDER

Takafumi Hikichi, Marc Delcroix, Masato Miyoshi, NTT Corporation, Japan

SP-P17.2: FAST ESTIMATION OF A PRECISE DEREVERBERATION FILTER BASED ON I -1073

SPEECH HARMONICITY

Keisuke Kinoshita, Tomohiro Nakalani, Masato Miyoshi, NTT Corporation, Japan

SP-P17.3: CODEBOOK-BASED BAYESIAN SPEECH ENHANCEMENT I -1077

Sriram Srinivasan, Jonas Samuelsson, Bastiaan Kleijn, KTH (Royal Institute of Technology), Sweden

SP-P17.4: OVERCOMING THE STATISTICAL INDEPENDENCE ASSUMPTION W.R.T I -1081

FREQUENCY IN SPEECH ENHANCEMENT

Tim Fingscheidt, Christophe Beaugeeint, Suhaeli Suhadi, Siemens AG, COM Mobile Phones, Germany

SP-P17.5: A TWO-STAGE ALGORITHM FOR ENHANCEMENT OF REVERBERANT SPEECH I -1085

Mingyang Wu, Fair Isaac Corporation, United States; DeLiang Wang, The Ohio Stale University, United Stales

SP-P17.6: MATRIX QUANTIZATION BASED TIME-VARYING FILTER SPEECH I -1089

ENHANCEMENT

Sharath Rao K, Boston University, United Stales; Sreenivas Thippur, Indian Institute ofScience, India

SP-P17.7: LEAKAGE MODELAND TEETH CLACK REMOVAL FOR AIR- AND I -1093

BONE-CONDUCTIVE INTEGRATEDMICROPHONES

Zieheng Liu, Amar Subramanya, Zhengyou Zhang, Jasha Droppo, AlexAcero, Microsoft Research, United Slates

SP-P17.8: SPEECH ENHANCEMENT USING A MMSE SHORT TIME SPECTRAL I -1097

AMPLITUDE ESTIMATOR WITH LAPLACIAN SPEECH MODELING

Bin Chen, Philipos Loizou, University ofTexas, Dallas, United States

SP-P17.9: SEPARATION OF FRICATIVES AND AFFRICATES I -1101

Guoning Hu, DeLiang Wang, The Ohio Stale University, United States

SP-P17.10: SPEECH ENHANCEMENT BASED ON FILTERING THE SPECTROTEMPORAL I -1105

MODULATIONS

Nima Mesgarani, Shihab Shamma, University ofMaryland, United Slates

SP-P17.11: IMPROVED KALMAN FILTERING FOR SPEECH ENHANCEMENT I -1109

Volodya Grancharov, Jonas Samuelsson, Bastiaan Kleijn, KTH (Royal Institute of Technology), Sweden

SP-P17.12: ADAPTIVE DECORRELATION FILTERING ALGORITHM FOR SPEECH SOURCE I -1113

SEPARATION IN UNCORRELATED NOISES

Rong Hu, Yunxin Zhao, University ofMissouri-Columbia, United Slates

SP-P17.13: AN IMPROVED ESTIMATION OF A PRIORI SPEECH ABSENCE PROBABILITY I -1117

FOR SPEECHENHANCEMENT : IN PERSPECTIVE OF SPEECHPERCEPTION

Min Seok Choi, Hong-Goo Kang, Yonsei University, Republic ofKorea

xxxiv

SP-P17.14: SPEECHENHANCEMENT USING A SWITCHING KALMAN FILTER WITH A I -1121

PERCEPTUAL POST-FILTER

Jianping Deng, Martin Bouchard, TetH. Yeap, University of Ottawa, Canada

Volume II

IMDSP-Ll: WATERMARKING

IMDSP-L1.1: USING PERCEPTUAL MODELS TO IMPROVE FIDELITY AND PROVIDE II -1

INVARIANCE TO VALUMETRIC SCALINGFOR QUANTIZATION INDEX MODULATIONWATERMARKING

Qiao Li, Ingemar Cox, University College London, United Kingdom

IMDSP-L1.2: SCALAR SCHEME FORMULTIPLE USER INFORMATION EMBEDDING II - 5

AbdellatifZaidi, Pablo Piantanida, Pierre Duhamel, LSS/CNRS SUPELEC, France

IMDSP-L1.3: RANDOMIZED DETECTIONFOR SPREAD-SPECTRUM WATERMARKING: II - 9

DEFENDING AGAINST SENSITIVITY AND OTHER ATTACKS

Ramarathnam Venkalesan, Mariusz Jakubowski, Microsoft Research, United States

IMDSP-L1.4: LINEAR COMBINATION COLLUSION ATTACK AND ITS APPLICATION ON AN II -13

ANTI-COLLUSION FINGERPRINTING

Yongdong Wu, Institute for Infocomm Research, Singapore

IMDSP-L1.5: PITCH AND DURATION MODIFICATION FOR SPEECH WATERMARKING II -17

Mehmet Celik, Gaurav Sharma, University ofRochester, United States; A. MuratTekalp, University ofRochester, United States /

Koc University, Turkey

IMDSP-L1.6: MORPHOLOGICAL STEGANALYSIS OF AUDIO SIGNALS AND THE II - 21

PRINCIPLE OF DIMINISHING MARGINAL DISTORTIONS

Oktay Altun, Gaurav Shanna, Mehmet Celik, Mark Sterling, Edward Titlebaum, MarkBocko, University ofRochester, United

States

IMDSP-L2: DENOISING

IMDSP-L2.1: IMAGE DENOISING BY NON-LOCAL AVERAGING II - 25

Antoni Buades, Bartomeu Coll, Universitat de les Illes Balears, Spain; Jean-Michel Morel, ENS Cachan, France

IMDSP-L2.2: IMAGE DENOISING FOR SIGNAL-DEPENDENT NOISE II - 29

Keigo Hirakawa, New England Conservatoiy ofMusic, United States; Tliomas W. Parks, Cornell University, United States

IMDSP-L2.3: WAVELET DOMAIN PARTITION-BASED IMAGE DENOISING II - 33

11 Ryeol Kim, Kenneth E. Banter, University ofDelaware, United States

IMDSP-L2.4: AN IMPROVED IMAGE DENOISING ALGORITHM BASED ON WEIGHTED II - 37

ADAPTIVE LOCAL BOUNDS

Qi Li, Tania Stathaki, Imperial College London, United Kingdom

IMDSP-L2.5: A SELF-CONSISTENTWAVELETMETHOD FOR DENOISING IMAGES II - 41

WITH MISSING PIXELS

Thomas Lee, Colorado State University, United States; Xiao-Li Meng, Harvard University, United States

JCOT