Research on Narrowband Communications

This document reports on work toward a very low rate vocoder. We model speech as a Markov Chain of spectral templates for the unsupervised learning approach to very low rate vocoding. This quarter investigated some variations in the spectral clustering algorithms. We also decided to use the speech o...

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Bibliographic Details
Main Authors: Makhoul, John, Roukos, Salim, Krasner, Micheal, Schwartz, Richard, Sorensen, John
Format: Report
Language:English
Subjects:
ALGORITHMS
CLUSTERING
Cybernetics
DATA RATE
Diphones
HIERARCHIES
LEARNING
LINEAR REGRESSION ANALYSIS
LOW RATE
MARKOV PROCESSES
PATTERN RECOGNITION
PHONEMES
PHONETICS
SCALAR FUNCTIONS
SEQUENCES
SPECTRA
SPEECH RECOGNITION
VAX computers
VLR(Very Low Rate)
VOCODERS
Voice Communications
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Summary:This document reports on work toward a very low rate vocoder. We model speech as a Markov Chain of spectral templates for the unsupervised learning approach to very low rate vocoding. This quarter investigated some variations in the spectral clustering algorithms. We also decided to use the speech of many speakers for the clustering and sequential modeling. We also began work on synthesizing the speech of many speakers from a diphone data base recorded from a single speaker. In phonetic recognition, we compared two methods for 'training' the diphone network, and concluded that the distance metric needs to be improved.