Across-ear Interference from Parametrically Degraded Synthetic Speech Signals in a Dichotic Cocktail-party Listening Task

Abstract

Recent results have shown that listeners attending to the quieter of two speech signals in one ear (the target ear) are highly susceptible to interference from normal or time-reversed speech signals presented in the unattended ear. However, speech-shaped noise signals have little impact on the segregation of speech in the opposite ear. This suggests that there is a fundamental difference between the across-ear interference effects of speech and nonspeech signals. In this experiment, the intelligibility and contralateral-ear masking characteristics of three synthetic speech signals with parametrically adjustable speech-like properties were examined: (1) a modulated noise-band (MNE) speech signal composed of fixed-frequency bands of envelope-modulated noise; (2) a modulated sine-band (MSB) speech signal composed of fixed-frequency amplitude-modulated sine waves; and (3) a "sinewave speech" signal composed of sine waves tracking the first four formats of speech. In all three cases, a systematic decrease in performance in the two-talker target-ear listening task was found as the number of bands in the contralateral speech-like masker increased.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA434337

Entities

People

  • Brian D. Simpson
  • Christopher J. Darwin
  • Douglas S. Brungart
  • Gerald Kidd Jr.
  • Tanya L. Arbogast

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Amplitude
  • Automated Speech Recognition
  • Contracts
  • Frequency
  • Frequency Bands
  • Government Procurement
  • Governments
  • Human Factors Engineering
  • Intelligibility
  • Language
  • Military Research
  • Sine Waves
  • Speech
  • Standards
  • Waves

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.
  • Speech Processing/Speech Recognition.