VL9264 DIGITAL SPEECH SIGNAL PROCESSING
UNIT I MECHANICS OF SPEECH
Speech production mechanism – Nature of Speech signal – Discrete time modelling of
Speech production – Representation of Speech signals – Classification of Speech
sounds – Phones – Phonemes – Phonetic and Phonemic alphabets – Articulatory
features. Music production – Auditory perception – Anatomical pathways from the ear to
the perception of sound – Peripheral auditory system – Psycho acoustics
UNIT II TIME DOMAIN METHODS FOR SPEECH PROCESSING
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
Short Time Fourier analysis – Filter bank analysis – Formant extraction – Pitch
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 10
Formulation of Linear Prediction problem in Time Domain – Basic Principle – Auto
correlation method – Covariance method – Solution of LPC equations – Cholesky
method – Durbin’s Recursive algorithm – lattice formation and solutions – Comparison of
different methods – Application of LPC parameters – Pitch detection using LPC
parameters – Formant analysis – VELP – CELP.
UNIT V APPLICATION OF SPEECH SIGNAL PROCESSING
Algorithms: Spectral Estimation, dynamic time warping, hidden Markov model – Music
analysis – Pitch Detection – Feature analysis for recognition –Automatic Speech
Recognition – Feature Extraction for ASR – Deterministic sequence recognition –
Statistical Sequence recognition – ASR systems – Speaker identification and verification
– Voice response system – Speech Synthesis: Text to speech, voice over IP.
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
-1978
3. Quatieri – Discrete-time Speech Signal Processing – Prentice Hall – 2001.
4. J.L.Flanagan – Speech analysis: Synthesis and Perception – 2nd edition – Berlin –
1972
5. I.H.Witten – – Principles of Computer Speech – Academic Press – 1982
UNIT I MECHANICS OF SPEECH
Speech production mechanism – Nature of Speech signal – Discrete time modelling of
Speech production – Representation of Speech signals – Classification of Speech
sounds – Phones – Phonemes – Phonetic and Phonemic alphabets – Articulatory
features. Music production – Auditory perception – Anatomical pathways from the ear to
the perception of sound – Peripheral auditory system – Psycho acoustics
UNIT II TIME DOMAIN METHODS FOR SPEECH PROCESSING
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
Short Time Fourier analysis – Filter bank analysis – Formant extraction – Pitch
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 10
Formulation of Linear Prediction problem in Time Domain – Basic Principle – Auto
correlation method – Covariance method – Solution of LPC equations – Cholesky
method – Durbin’s Recursive algorithm – lattice formation and solutions – Comparison of
different methods – Application of LPC parameters – Pitch detection using LPC
parameters – Formant analysis – VELP – CELP.
UNIT V APPLICATION OF SPEECH SIGNAL PROCESSING
Algorithms: Spectral Estimation, dynamic time warping, hidden Markov model – Music
analysis – Pitch Detection – Feature analysis for recognition –Automatic Speech
Recognition – Feature Extraction for ASR – Deterministic sequence recognition –
Statistical Sequence recognition – ASR systems – Speaker identification and verification
– Voice response system – Speech Synthesis: Text to speech, voice over IP.
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
-1978
3. Quatieri – Discrete-time Speech Signal Processing – Prentice Hall – 2001.
4. J.L.Flanagan – Speech analysis: Synthesis and Perception – 2nd edition – Berlin –
1972
5. I.H.Witten – – Principles of Computer Speech – Academic Press – 1982
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