Speech recognitionHome Work 1

Problem 1

0 0.5 1 1.5 2 2.5 3

-1

0

1

2

Nor

mal

ized

Mag

nitu

deFr

eque

ncy

[Hz]

Time [s]

SPECTROGRAM

0 0.5 1 1.5 2 2.5 30

2000

4000

6000

8000

"She had your dark suit in greasy wash water all year."

h#

sh

ixhv

aedc

l jhax

r dcl

daa

rkc

l ks

ux

qen

gcl g

riy

s

iyw

aa

sh

epi w

aadx

axq

aa

l

y

ihax

r h#

Problem 2

• Here in this problem, all the phonemes are detected by using phoncode.doc

• There are several phonetics in the English language, – Vowels– Affricates– Fricatives– Plosives– Nasals– Semi vowel– whispers

Problem 3

• Pitch , duration, and energy is the main three models of prosodic elements

• The pitch information incorporated into specgram_nist.m will allow for some prosodic context in the decision making algorithm.

• Pitch.m performs analysis on one analysis frame segment.

• Frame based analysis has been coded for pitch estimation of the entire speech signal.