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Objective:
This course is specially designed to cover the basic speech coding methods in the modern-day speech coder. Numerous hands-on Matlab-based exercises are also included as part of the course to help participants enrich and reinforce the learning process.
Prerequisite:
A keen interest in audio/speech processing and a desire to acquire better conceptual understanding of this subject is desirable. Technical background knowledge in digital signal processing is also helpful.
Duration:
2 Full Days
Course outline
Day 1
Understanding Speech and Sounds:
- Speech production model
- Linear Prediction Coding (LPC) model of speech production
Voicing detection:
- Magnitude sum function
- Zero-crossing rate
- The voicing classification problem
Signal Processing Techniques using Pitch period estimation:
- Autocorrelation method
- Magnitude difference function
- Multiplicity check
Fractional pitch period estimation
Day 2
Linear Prediction Coding Analysis:
- Spectrum estimation
- Prediction gain
- The Levinson-Durbin Algorithm
- Long-Term Linear Prediction
Synthesis filtering The LPC Speech Coding System:
- LPC encoder
- LPC decoder
The Code-Excited Linear Prediction (CELP) speech coding system:
- The Analysis-by-Synthesis Speech Coding Approach
- CELP encoder and decoder
Who should attend?
The primary target audiences for this course are researchers and engineers with little or no background in speech coding systems but are keen to learn more about this subject. The course will also be of interest to technical managers who supervise research or development related to speech coding applications.
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