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Related Experiment Videos

Monaural speech segregation using synthetic speech signals.

Douglas S Brungart1, Nandini Iyer, Brian D Simpson

  • 1Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio 45433-7901, USA.

The Journal of the Acoustical Society of America
|April 29, 2006
PubMed
Summary

Listeners struggle to separate synthetic speech from noise. Sine-wave speech (SWS) was better than modulated noise-band (MNB) or sine-band (MSB) speech, impacting cochlear implant users in noisy environments.

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Area of Science:

  • Auditory perception
  • Speech processing
  • Signal processing

Background:

  • Listeners use various cues (pitch, prosody) to segregate natural speech from noise.
  • Cues for segregating synthetic speech, which lacks natural features, are poorly understood.

Purpose of the Study:

  • To investigate listener ability to segregate synthetic speech signals.
  • To compare segregation of sine-wave speech (SWS), modulated noise-band (MNB), and modulated sine-band (MSB) signals.

Main Methods:

  • A diotic listening task measured intelligibility of two simultaneous synthetic sentences.
  • Three synthetic signal types (SWS, MNB, MSB) were compared against natural speech.

Main Results:

  • Listeners performed worse on all synthetic signals compared to natural speech, especially at low signal-to-noise ratios (SNRs).

Related Experiment Videos

  • Sine-wave speech (SWS) signals allowed for better segregation than modulated noise-band (MNB) and modulated sine-band (MSB) signals.

    • Conclusions:

    • Synthetic speech, particularly MNB and MSB, presents challenges for speech segregation.
    • Cochlear implant users, often relying on MNB-like signals, may face significant difficulties in complex listening environments.