A Mixed Excitation Vocoder with Fuzzy Logic Classifier

Abstract

The aim of this thesis work is to explore the use of fuzzy systems in a speech coding and classification application. A mixed excitation LPC based speech coder is developed. The excitation classifier for the speech coder is then implemented using a fuzzy system. The fuzzy logic based classifier determines the type of excitation to be used in constructing the synthetic speech. The results of various implementations of this speech coder are presented for comparison. This work demonstrates that a fuzzy system can be developed and implemented for a classification problem.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1992
Accession Number
ADA256834

Entities

People

  • James T. Moore

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Coast Guard
  • Computer Programming
  • Computer Programs
  • Computers
  • Engineering
  • Frequency
  • Fuzzy Logic
  • Fuzzy Sets
  • Information Theory
  • Machine Learning
  • Security
  • Set Theory
  • Signal Processing
  • Speech Compression
  • United States

Readers

  • Computer Engineering
  • Speech Processing/Speech Recognition.