LECTURE 16: LINEAR PREDICTION-BASED REPRESENTATIONS
- Objectives:
- Introduce analysis/synthesis systems
- Discuss error analysis and gain-matching
- Relate linear prediction coefficients to other spectral
representations
- Introduce reflection and prediction coefficent recursions
- Lattice/ladder filter implementations
There is a classic textbook on this subject:
J.D. Markel and A.H. Gray,
Linear Prediction of Speech, Springer-Verlag,
New York, New York, USA, ISBN: 0-13-007444-6, 1976.
This lecture also includes material from two other textbooks:
J. Deller, et. al.,
Discrete-Time Processing of Speech Signals,
MacMillan Publishing Co., ISBN: 0-7803-5386-2, 2000.
and,
L.R. Rabiner and B.W. Juang,
Fundamentals of Speech Recognition,
Prentice-Hall, Upper Saddle River, New Jersey, USA,
ISBN: 0-13-015157-2, 1993.