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The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
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Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions.

Piotr Odya1, Jozef Kotus1, Adam Kurowski1

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Summary
This summary is machine-generated.

This study proposes optimal speech rates to improve understanding in reverberant spaces. Recommended speech rates enhance speech intelligibility and aid acoustic sensing technology.

Keywords:
STIacoustic sensingdigital signal processingreverberationspeech intelligibilityspeech ratetime-scale modification

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Area of Science:

  • Acoustics and Signal Processing

Background:

  • Reverberation significantly degrades speech intelligibility in indoor environments, especially large, open spaces.
  • Reducing the rate of speech (RoS) is a potential method to improve clarity in challenging acoustic conditions.

Purpose of the Study:

  • To determine recommended RoS values for enhancing speech intelligibility across various acoustic environments.
  • To establish a relationship between RoS, speech transmission index (STI), and subjective intelligibility.

Main Methods:

  • Experimental investigation of speech intelligibility using a Polish sentence test.
  • Subjective listening tests with 15 normal-hearing participants.
  • Analysis of speech intelligibility across six impulse responses representing different acoustic conditions (STIs).

Main Results:

  • A curve was developed to specify maximum permissible RoS values for understandable speech.
  • The findings quantify the impact of RoS on speech intelligibility in relation to acoustic conditions.

Conclusions:

  • The proposed RoS-based curve offers a practical tool for real-time speech processing.
  • This research supports advancements in speech processing control and compressive reverse acoustic sensing.