A Modulation Model for Characterizing Speech Signals.

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.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1996
Accession Number
ADA311661

Entities

People

  • Kevin Farrell
  • Khaled Assaleh
  • Mihailo Zilovic
  • Ravi Ramachandran
  • Richard J. Mammone

Organizations

  • Rutgers University–New Brunswick

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Identification
  • Modulation
  • Supercomputers

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Parallel and Distributed Computing.
  • Speech Processing/Speech Recognition.