Enhancement and Bandwidth Compression of Noisy Speech by Estimation of Speech and Its Model Parameters

Abstract

The problem of enhancement and bandwidth compression of noisy speech is formulated as a parameter estimation problem, in which speech and its model parameters are estimated from the noisy speech based on the MAP estimation procedure. Such an approach leads to two algorithms which require solving sets of linear equations in an iterative manner. Some approximations of the two algorithms lead to two systems which are computationally simpler than the two algorithms by taking advantage of a high speed FFT algorithm. As a preliminary investigation into the performance of the class of systems developed, two systems are implemented and applied to both real and synthetic speech data. An objective and informal subjective evaluation indicate that the systems implemented perform well as enhancement and potential bandwidth compression systems of noisy speech.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1978
Accession Number
ADA081948

Entities

People

  • Jae S. Lim

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computer Science
  • Data Analysis
  • Data Science
  • Electrical Engineering
  • Information Processing
  • Information Science
  • Materials
  • Mathematical Filters
  • Plastic Explosives
  • Power Spectra
  • Probability
  • Probability Density Functions
  • Signal Processing
  • Speech Analysis
  • Statistical Algorithms
  • Surveys
  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Linguistics
  • Image Processing and Computer Vision.