Efficient Encoding and Decoding of Speech.

Abstract

This report concludes our work for the past year on efficient coding and decoding of speech. During the past year, we have developed and optimized an adaptive predictive coding (APC) system for high quality speech encoding at 16 kb/s. In our research, we have examined many issues which we described in this report. The system uses the noise-feedback APC configuration, chosen because of the computational efficiencies in implementing spectral noise shaping. The many-level, non-uniform quantizer is derived as a piece-wise linearization of a mu-law non-linear quantizer. The encoding scheme is an entropy coder using a self-synchronizing variable-length code which is matched to the quantization. A simple pole-zero spectral noise shaping is adapted as a function of the input speech spectrum. System parameters are perceptually optimized via listening experiments. As a conclusion to the algorithm development, different implementation strategies were studied as well as methods for decreasing computational complexity. The computational requirements of the algorithm were related to the features of several technologies. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1980
Accession Number
ADA093850

Entities

People

  • J. Makhoul
  • M. Berouti
  • M. Krasner

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Coding
  • Computational Complexity
  • Computations
  • Data Compression
  • Databases
  • Decoding
  • Fabrication
  • Frequency
  • Information Theory
  • Power Gain
  • Probability
  • Signal Processing
  • Speech Compression
  • Statistics
  • Very Large Scale Integration
  • White Noise

Readers

  • Computer Programming and Software Development.
  • Image Processing and Computer Vision.
  • Speech Processing/Speech Recognition.