EC2024 SPEECH PROCESSING

EC2024 SPEECH PROCESSING 

L T P C

3 0 0 3

UNIT I MECHANICS OF SPEECH 9

Speech production: Mechanism of speech production, Acoustic phonetics - Digital

models for speech signals - Representations of speech waveform: Sampling speech

signals, basics of quantization, delta modulation, and Differential PCM - Auditory

perception: psycho acoustics.

UNIT II TIME DOMAIN METHODS FOR SPEECH PROCESSING 9

Time domain parameters of Speech signal – Methods for extracting the parameters

Energy, Average Magnitude, Zero crossing Rate – Silence Discrimination using ZCR

and energy – Short Time Auto Correlation Function – Pitch period estimation using Auto

Correlation Function.

UNIT III FREQUENCY DOMAIN METHOD FOR SPEECH PROCESSING 9

Short Time Fourier analysis: Fourier transform and linear filtering interpretations,

Sampling rates - Spectrographic displays - Pitch and formant extraction - Analysis by

Synthesis - Analysis synthesis systems: Phase vocoder, Channel Vocoder -

Homomorphic speech analysis: Cepstral analysis of Speech, Formant and Pitch

Estimation, Homomorphic Vocoders.

UNIT IV LINEAR PREDICTIVE ANALYSIS OF SPEECH 9

Basic Principles of linear predictive analysis – Auto correlation method – Covariance

method – Solution of LPC equations – Cholesky method – Durbin’s Recursive algorithm,

– Application of LPC parameters – Pitch detection using LPC parameters – Formant

analysis – VELP – CELP.

UNIT V APPLICATION OF SPEECH & AUDIO SIGNAL PROCESSING 9

Algorithms: Dynamic time warping, K-means clusering and Vector quantization,

Gaussian mixture modeling, hidden Markov modeling - Automatic Speech Recognition:

Feature Extraction for ASR, Deterministic sequence recognition, Statistical Sequence

recognition, Language models - Speaker identification and verification – Voice response

system – Speech synthesis: basics of articulatory, source-filter, and concatenative

synthesis – VOIP

TOTAL= 45 PERIODS

TEXT BOOK:

1. Thomas F, Quatieri, Discrete-Time Speech Signal Processing, Prentice Hall /

Pearson Education, 2004.

REFERENCES:

1. Ben Gold and Nelson Morgan, Speech and Audio Signal Processing, John Wiley and

Sons Inc., Singapore, 2004

2. L.R.Rabiner and R.W.Schaffer – Digital Processing of Speech signals – Prentice Hall

-1979

3. L.R. Rabiner and B. H. Juang, Fundamentals of Speech Recognition, Prentice Hall,

1993.

4. J.R. Deller, J.H.L. Hansen and J.G. Proakis, Discrete Time Processing of Speech

Signals, John Wiley, IEEE Press, 1999.