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Cascaded Amplitude Modulations in Sound Texture Perception.

Richard McWalter1, Torsten Dau1

  • 1Hearing Systems Group, Technical University of DenmarkKongens Lyngby, Denmark.

Frontiers in Neuroscience
|September 29, 2017
PubMed
Summary

This study reveals that second-order amplitude modulation is key to recognizing sound textures. Incorporating this rhythmic structure significantly improves synthetic sound texture perception.

Keywords:
amplitude modulationauditory modelauditory perceptionnatural soundsound texture

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Area of Science:

  • Auditory Perception
  • Acoustics
  • Psychoacoustics

Background:

  • Sound textures are characterized by homogeneous temporal structures.
  • Perception of sound texture is thought to rely on time-averaged auditory statistics.
  • Rhythmic structure in sound textures involves second-order amplitude modulations (beating).

Purpose of the Study:

  • To investigate the role of second-order amplitude modulations in sound texture perception.
  • To develop and evaluate an auditory texture model incorporating modulation filterbanks.
  • To determine if second-order modulation analysis enhances texture recognition and preference.

Main Methods:

  • Developed an auditory texture model using cascaded modulation filterbanks.
  • Generated synthetic sound textures based on real-world texture statistics.
  • Conducted psychophysical experiments including texture identification and preference tasks.

Main Results:

  • Sensitivity to second-order amplitude modulation significantly enhanced texture recognition.
  • The proposed model with second-order modulation analysis was preferred over models lacking this feature.
  • Texture discriminability involving second-order modulations appears to be processed via time-averaging.

Conclusions:

  • Second-order amplitude modulation analysis improves the perceived quality of synthetic sound textures.
  • The findings suggest a more sophisticated auditory processing of rhythmic sound textures than previously modeled.
  • This research advances the understanding of auditory texture perception and modeling.