voice based autonomous access control terminals hexium technical development co., ltd. 2003
TRANSCRIPT
Voice Based Autonomous Access Control
Terminals
HEXIUM Technical Development Co., Ltd.
2003
Table of Contents
Introducing Hexium Ltd.The problem
Access controlBiometricsVoice-print propertiesInnovation
Preliminary market analysisSummary
HEXIUM Technical Development Co., Ltd.
Research, development, production (hardware, software)
Security control, image processing, industrial measurement, signal processing and automation
The problem
Communication network
TriMediaTerminal
TriMediaTerminal
Server
RS485
RS485
1. Physical access/time control2. Inexpensive, reliable, fast, user-friendly
Issues with ownership based access control
What to identify?a card?a keyword?a PIN code?…
and NOT the PERSON!Gives rise to abuse..
Biometrics
Identification of human subjects based onPhysical parametersBehavioral parameters
Examples:Fingerprint, iris, face, ear, handSignature, voice
Comparision of biometricsMethod Recognition User
acceptanceUser
friendlinessDifficulty/method of
abuse
Fingerprint **** ** *** Sensor dependent
Signature *** **** **** Learning
Face * ** **^ Masks
Retina/iris **** ---- ---- -----
Hand *** ** **** Sensor dependent
Voice ***^ **** **** Sensor and system dependent
But..Issues with biometrics
Expensive sensorsPoor acceptance by users due to..
Uncomfortable useMistrust
Precision, reliabilityRecallSlow processing
Properties of voice
• Identitity verification: Speaker dependent features (speaker
verificaton) Message verification: Message dependent features (speech
recognition)
Properties
Speaker independent but
content dependent
Speaker dependent, independent of the
message
Voice-print propertiesThe figures show the
spectogram of a sentence spoken twice by the same
person
Both the rhythm (a behavioral property) and the spectral distribution
of identical sounds (physical parameters) stay remarkably constant.
People are generally good at copying behavioral patterns (a behavioral property),
but is is impossible for them to copy the physical “layout” of sounds.
Speech of different people show vastly different rythmic and spectral
patterns.
Issues with speaker verification
Noisy environmentPeople staying closeTakes time (dialogue)
Goal: scaleable, multi-layer systemFAR 0.01%-0.0001%FRR small (below 1%) FAR: false acceptance rate
FRR: false reject rate
Innovation
Advanced noise filtering “Liveness” verification using array microphones Optimized implementations Robust dialogue design minimizing the error rate Multi-model user interface Open system architecture
Preliminary market analysis
IDCAccess control, 2002: USD 4.2MBiometrics, only banks, 2004: USD 1,800M
We are here..
Summary
Advanced, autonomous voice based access control terminalsCompetitive technologyBetter acceptance than that of competing
biometrics technologiesGrowing market demand
Contact
HEXIUM Technical Development Co., Ltd.H-1134 Budapest, Váci út 51/b, HUNGARYPhone: (+36 1) 320-8338Fax: (+36 1) 340-8072E-mail: [email protected]
[email protected] [email protected]
Honlap: www.hexium.huwww.hexium.hu/voiceterminals