Advanced Architectures for Digital Signal Processors.

Abstract

This report is concerned with the development and application of improved techniques for digital signal processing, based on use of residue number system (RNS) to implement the processing functions associated with isolated-word speech recognition. Specifically, the use of RNS in combination and systolic architectures for implementation of speech recognition algorithms was explored. The implementation of time-warping speech algorithm in RNS is described. Keyword include: Signal processing, Speech recognition, systolic architecture, Residue number system (RNS), Autoregressive spectral estimation, and Dynamic time-warping.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1985
Accession Number
ADA166921

Entities

People

  • A. L. Bequillard
  • D. O. Carhoun
  • W. L. Eastman

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automated Speech Recognition
  • Computational Science
  • Computer Vision
  • Data Science
  • Databases
  • Digital Signal Processing
  • Distortion
  • Feature Extraction
  • Frequency
  • Information Science
  • Recognition
  • Signal Processing
  • Simulations
  • Waveforms
  • Word Recognition

Fields of Study

  • Engineering

Readers

  • Computer Networking
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML