Speech Processing detail syllabus for Electronics & Communication Engineering (ECE), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (REC087), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.
For all other ece 8th sem syllabus for b.tech 2019-20 scheme aktu you can visit ECE 8th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-VI subjects do refer to Departmental Elective-VI. The detail syllabus for speech processing is as follows.
Unit I
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Unit II
Time Domain methods of speech sampling: Time dependent processing of speech, short time energy and average magnitude, short time average zero crossing rate, discrimination between speech& silence, pitch period estimation using parallel processing, short time autocorrelation function & AMDF, pitch period estimation using autocorrelation function
Unit III
Short time Fourier Analysis: Definition and properties, design of filter banks, implementation of filter bank summation method using FFT, spectrographic displays, pitch detection, analysis by synthesis phase, vocoder and channel vocoder.
Unit IV
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Unit V
Linear Predictive Coding of Speech: Basic principles of linear predictive analysis, the autocorrelation method, computation of the gain for the model, solution of LPC equations for auto correlation method, prediction error and normalized mean square error, frequency domain interpretation of mean squared prediction error relation of linear predictive analysis to lossless tube models, relation between various speech parameters, synthesis of speech from linear predictive parameters, application of LPC parameters.
Course Objectives:
- To understand digital models for speech signals.
- To analyse time domain methods of speech sampling.
- To evaluate short time Fourier analysis.
- To learn homomorphic speech processing.
- To understand Linear Predictive Coding of Speech.
Course Outcomes:
- Understand the mechanism of speech production & acoustic phonetics, the acoustic theory of speech production, lossless tube models.
- Understand time dependent processing of speech, short time energy and average magnitude, short time average zero crossing rate.
- Design of filter banks, implementation of filter bank summation method using FFT.
- Evaluate homomorphic system for convolution, complex cepstrum of speech, pitch detection using Homomorphic processing.
- Understand basic principles of linear predictive analysis, the autocorrelation method, computation of the gain for the model, solution of LPC equations.
Reference Books:
- R. L. Rabiner & R.W. Schafer, Digital Processing of speech signals, Pearson Education.
- B. Gold and Nelson Morgon, Speech and audio signal processing, Wiley India Edition,2006.
For detail syllabus of all other subjects of B.Tech Ece, 2019-20 regulation do visit Ece 8th Sem syllabus for 2019-20 Regulation.
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