Application of Spatial Filtering to Speech Recognition.

Abstract

A new approach to the automatic speech recognition problem is presented, based on methods previously successful in visual pattern recognition. Samples of ten different words from seven different speakers were transformed by an electronic analog ear into patterns representing vibratory activity along the basilar membrance of the cochlea as a function of time. The resulting patterns were then Fourier transformed, filtered, compared with a set of stored prototypes, and classified using an adaptive decision function. The resulting recognition rate was evaluated. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1970
Accession Number
AD0875082

Entities

People

  • David Leroy Thorne

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Automatic
  • Filtration
  • Identification
  • Pattern Recognition
  • Prototypes
  • Recognition
  • Spatial Filtering

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Phased Array Antenna Design.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Microelectronics