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A Modulation Model for Characterizing Speech Signals

Authors: Richard J. Mammone; Khaled Assaleh; Kevin Farrell; Ravi Ramachandran; Mihailo Zilovic; RUTGERS - THE STATE UNIV PISCATAWAY NJ
Abstract:
The purpose of this effort was to research and develop new techniques for modeling speech segments. These models were used for Speaker Identification and for Keyword Spotting. The Format Mode Modulation Model and Pitch Mode Modulation Model were investigated. A novel feature, the Advanced Cepstral Weighting (ACW) Cepstrum, was developed and implemented to enhance performance. These algorithms were implemented on workstations, and also on an nCUBE supercomputer. In the future, these research algorithms can be used as part of a larger application.

Limitations: APPROVED FOR PUBLIC RELEASE
Description: Final technical rept. Sep 91-Apr 95
Pages: 57
Report Date: MAR 96
Contract Number: F30602-91-C-0120
Report Number: A166113
Keywords relating to this report:
*CEPSTRUM TECHNIQUE
*SPEECH RECOGNITION
ALGORITHMS
IDENTIFICATION
INDEX TERMS
MODULATION
SUPERCOMPUTERS
WORK STATIONS
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