Digital Encoding of Speech and Audio Signals Based on the Perceptual Requirements of the Auditory System

Abstract

The development of a digital encoding system for speech and audio signals is described. The system is designed to exploit the limited detection ability of the auditory system. Existing digital encoders are examined. Relevant psychoacoustic experiments are reviewed. Where the literature is lacking, a simple masking experiment is performed and the results reported. The design of the encoding system and specifications of system parameters are then developed from the perceptual requirements and digital signal processing techniques. The encoder is a multi-channel system, each channel approximately of critical bandwidth. The input signal is filtered via the quadrature mirror filter technique. An extensive development of this technique is presented. Channels are quantized with an adaptive PCM scheme. The encoder is evaluated for speech and audio signal inputs. For 4.1-kHz bandwidth speech, the differential threshold of encoding degradation occurs at a bit rate of 34.4 kbps. At 16 kbps, the encoder produces toll-quality speech output. Audio signals of 15-kHz bandwidth can be encoded at 123.8 kbps without audible degradation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 18, 1979
Accession Number
ADA077355

Entities

People

  • Michael A. Krasner

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Bandwidth
  • Coders
  • Coding
  • Communication Systems
  • Computer Science
  • Detection
  • Dynamic Range
  • Electrical Engineering
  • Frequency Bands
  • Modulation
  • Processing Equipment
  • Pulse Code Modulation
  • Signal Processing
  • Speech Compression
  • Standards
  • United States
  • Waveforms

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.