Hadamard Transform for Speech Wave Analysis

Abstract

Two methods of speech wave analysis using the Hadamard transform are discussed. The first method is a direct application of the Hadamard transform for speech waves. The reason this method yields poor results is discussed. The second method is the application of the Hadamard transform to a log-magnitude frequency spectrum. After the application of the Fourier transform the Hadamard transform is applied to detect a pitch period or to get a smoothed spectrum. This method shows some positive aspects of the Hadamard transform for the analysis of a speech wave with regard to the reduction of processing time required for smoothing, but at the cost of precision. A formant tracking program for voiced speech is implemented by using this method and an edge following technique used in scene analysis.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1972
Accession Number
AD0785073

Entities

People

  • Hozumi Tanaka

Organizations

  • Stanford University

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Bits
  • Computer Science
  • Detection
  • Filters
  • Frequency
  • Image Processing
  • Irrational Numbers
  • Linear Systems
  • Numbers
  • Resonant Frequency
  • Sequences
  • Spectra
  • Speech Analysis
  • Trajectories
  • Walsh Functions

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Speech Processing/Speech Recognition.