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Spectro-temporal envelope changes caused by temporal fine structure modification.

James M Kates1

  • 1GN ReSound A/S, 3215 Marine Street, Room W161, Boulder, Colorado 80309, USA. jkates@gnresound.dk

The Journal of the Acoustical Society of America
|June 21, 2011
PubMed
Summary
This summary is machine-generated.

Removing temporal fine structure (TFS) from speech significantly impacts envelope modulation accuracy. The tone vocoder method preserves envelope accuracy best among tested TFS removal techniques.

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Area of Science:

  • Speech Processing
  • Auditory Perception
  • Signal Processing

Background:

  • Temporal fine structure (TFS) removal from speech is a key research area.
  • Noise and tone vocoders are common methods for TFS removal.
  • Understanding TFS impact on speech envelope is crucial for auditory models.

Purpose of the Study:

  • To evaluate five different procedures for removing temporal fine structure (TFS) from speech.
  • To assess the impact of TFS modification on speech envelope accuracy using a novel index.
  • To compare the effectiveness of noise vocoder, low-noise noise, phase randomization, tone vocoder, and sinusoidal modeling.

Main Methods:

  • Implemented five TFS removal techniques: noise vocoder, low-noise noise, phase randomization, tone vocoder, and sinusoidal modeling.
  • Utilized an index based on envelope time-frequency modulation to quantify accuracy.
  • Analyzed the effects of each TFS modification on speech envelope reproduction.

Main Results:

  • All tested TFS removal techniques resulted in a substantial loss of envelope time-frequency modulation accuracy.
  • The tone vocoder demonstrated the highest accuracy in reproducing the speech envelope.
  • The procedure replacing the noise envelope with the speech envelope in each band showed the second-best accuracy.

Conclusions:

  • Temporal fine structure removal significantly degrades speech envelope representation.
  • The tone vocoder is the most effective method among those studied for preserving envelope accuracy.
  • Further research is needed to optimize TFS removal techniques for speech intelligibility and perception studies.