The Effects of Microphones and Facemasks on LPC Vocoder Performance.

Abstract

The effects oxygen facemasks and noise cancelling microphones on LPC vocoder performance were analyzed and evaluated. Likely sources of potential vocoder performance degradation included the non-ideal frequency response characteristics of the microphone, the acoustic alterations of the speech waveform due to the addition of the facemask cavity, and the presence of breath noise imposed by the close-talking requirement. It is shown that the presence of the facemask produces a vowel-dependent reduction in the bandwidths of the upper speech formants. In addition, the low frequency emphasis normally associated with small enclosures is shown to occur when a pressure microphone is employed for transduction. Noise cancelling microphones, which are sensitive to the pressure gradient, do not exhibit this effect. Finally, an acoustic tube model of the vocal tract and facemask is presented which predicts the absence of spurious resonances within the frequency band of typical narrowband vocoders. Evidence supporting these assertions is presented based on observed vowel spectra. Evaluations performed using Diagnostic Rhyme Tests indicate that the presence of the oxygen facemask and noise cancelling microphone does not result in a significant increase in the LPC vocoder processing loss. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 25, 1981
Accession Number
ADA107908

Entities

People

  • Elliot Singer

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Impedance
  • Acoustics
  • Air Force
  • Ambient Noise
  • Background Noise
  • Bandwidth
  • Frequency
  • Frequency Bands
  • Frequency Response
  • Impedance
  • Narrowband
  • Noise
  • Pressure Gradients
  • Resonance
  • Resonant Frequency
  • Spectra
  • Waveforms

Readers

  • Marine Mammal Biology
  • Speech Processing/Speech Recognition.