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Enhancing listener strategies using a payoff matrix in speech-on-speech masking experiments.

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Area of Science:

  • Auditory perception
  • Speech processing
  • Psychoacoustics

Background:

  • Understanding speech recognition in noisy environments is crucial.
  • Speech maskers, especially those syntactically similar, pose significant challenges.
  • Listener behavior can influence speech recognition performance.

Purpose of the Study:

  • To investigate speech recognition performance as a function of target-to-masker ratio (TMR).
  • To evaluate the impact of listener instructions and feedback on speech recognition with similar speech maskers.
  • To determine optimal listening conditions for speech intelligibility.

Main Methods:

  • Speech recognition was measured using varying target-to-masker ratios (TMR).
  • Two experiments were conducted with syntactically similar speech maskers from the same talker.
  • Listener instructions and a payoff matrix were manipulated to influence reporting behavior.

Main Results:

  • Performance plateaued below 0 dB TMR in the first experiment, with varied listener strategies.
  • In the second experiment, listeners reduced masker keyword reports and improved target keyword reports.
  • A local minimum in performance was observed at 0 dB TMR with same-talker maskers.
  • Optimal performance was achieved with a 9 dB level difference, favoring the target speaker.

Conclusions:

  • Listener instructions and feedback significantly impact speech recognition in the presence of similar speech maskers.
  • A level difference favoring the target speaker enhances intelligibility.
  • Understanding and mitigating listener bias is key for improving speech recognition technology.