IT8006 Principles of speech processing

IT8006 Principles of speech processing

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     S.Santhosh (Admin) 

Important questions 

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UNIt-1

1.Short-Time Analysis of Speech,Autocorrelation Function,STFT**

2.Hearing and Auditory Perception ,Perception of Loudness ,Critical Bands ,Pitch Perception 

Unit 2 1.PCM full topic**

2.Delta Modulation may be part c 

3. LPC

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Unit 3 1. Context dependent subword units,Semantic post processor for speech recognition 

2.HMM training procedure,subword unit model based on HMM ** may be part c

Unit 4
1.Text independent speaker verification techniques**
2.Feature space for speaker recognition,similarity measures

3.Acoustic parameters for speaker verification

Unit 5

1.intelligibility and naturalness-role of prosody 

2.Text to speech synthesis ,Concatenative and waveform synthesis methods . may be part c 

**Very important questions are bolded and may be asked based on this topic

PART-C

1.Compulsory Questions {a case study where the student will have to read and analyse the subject }

mostly asked from unit 3&5(OR) a situation given and you have to answer on your own

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SYllabuS

UNIT I SPEECH SIGNAL CHARACTERISTICS & ANALYSIS
 Speech production process - speech sounds and features- - Phonetic Representation of Speech --representing speech in time and frequency domains - Short-Time Analysis of Speech - Short-Time Energy and Zero-Crossing Rate - Short-Time Autocorrelation Function - Short-Time Fourier Transform (STFT) - Speech Spectrum - Cepstrum - Mel-Frequency Cepstrum Coefficients - Hearing and Auditory Perception - Perception of Loudness - Critical Bands - Pitch Perception 
UNIT II SPEECH COMPRESSION 
Sampling and Quantization of Speech (PCM) - Adaptive differential PCM - Delta Modulation - Vector Quantization- Linear predictive coding (LPC) - Code excited Linear predictive Coding (CELP)
 UNIT III SPEECH RECOGNITION 
LPC for speech recognition- Hidden Markov Model (HMM)- training procedure for HMMsubword unit model based on HMM- language models for large vocabulary speech recognition - Overall recognition system based on subword units - Context dependent subword unitsSemantic post processor for speech recognition 
UNIT IV SPEAKER RECOGNITION 
Acoustic parameters for speaker verification- Feature space for speaker recognition-similarity measures- Text dependent speaker verification-Text independent speaker verification techniques 
UNIT V SPEAKER RECOGNITION AND TEXT TO SPEECH SYNTHESIS 
Text to speech synthesis (TTS)-Concatenative and waveform synthesis methods, sub-word units for TTS, intelligibility and naturalness-role of prosody