Bihar Engineering University, Bihar, Computer Engineering Semester 6, Speech and Audio Processing Syllabus

Unit - 1 Introduction- Speech production and modeling

1.1 Speech production and modeling Human Auditory System

1.2 General structure of speech coders

1.3 Classification of speech coding techniques – parametric

1.4 Waveform and hybrid

1.5 Requirements of speech codecs –quality

1.6 Coding delays

1.7 Robustness

Unit - 2 Speech Signal Processing

2.1 Pitchperiod estimation

2.2 Allpole and allzero filters

2.3 Convolution

2.4 Power spectral density

2.5 Periodogram

2.6 Autoregressive model

2.7 Autocorrelation estimation

Unit - 3 Linear Prediction of Speech

3.1 Basic concepts of linear prediction

3.2 Linear Prediction Analysis of non stationary signals –prediction gain examples

3.3 LevinsonDurbin algorithm

3.4 Long term and shortterm linear prediction models

3.5 Moving average prediction

Unit - 4 Speech Quantization

4.1 Scalar quantization–uniform quantizer

4.2 Optimum quantizer

4.3 Logarithmic quantizer

4.4 Adaptive quantizer

4.5 Differential quantizers

4.6 Vector quantization – distortion measures

4.7 Codebook design

4.8 Codebook types

Unit - 5 Scalar Quantization of LPC

5.1 Spectral distortion measures

5.2 Quantization based on reflection coefficient and log area ratio

5.3 Bit allocation

5.4 Line spectral frequency – LPC to LSF conversions

5.5 Quantization based on LSF

Unit - 7 Code Excited Linear Prediction

7.1 CELP speech production model

7.2 Analysisbysynthesis

7.3 Generic CELP encoders and decoders

7.4 Excitation codebook search – statesave method

7.5 Zero input zerostate method

7.6 CELP based on adaptive codebook

7.7 Adaptive Codebook search

7.8 Low Delay CELP

7.9 Algebraic CELP

Unit - 8 Speech Coding Standards

8.1 An overview of ITUT G.726

8.2 G.728

8.3 G.729 standards

unit - 6 Linear Prediction Coding

6.1 LPC model of speech production

6.2 Structures of LPC encoders and decoders

6.3 Voicing detection

6.4 Limitations of the LPC model