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A Novel Method for Intelligibility Assessment of Nonlinearly Processed Speech in Spaces Characterized by Long
Adam Kurowski1, Jozef Kotus1, Piotr Odya1
1Department of Multimedia Systems, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 11/12 Narutowicza Street, 80-233 Gdansk, Poland.
Sensors (Basel, Switzerland)
|February 26, 2022
Summary
A new method, broadband Speech Transmission Index (bSTI), is introduced to objectively assess speech intelligibility, even after nonlinear processing. This overcomes limitations of the standard Speech Transmission Index (STI) for evaluating speech enhancement algorithms.
Area of Science:
- Acoustics and Signal Processing
- Speech Communication
Background:
- Objective assessment of speech intelligibility is crucial for evaluating audio systems and environments.
- The standard Speech Transmission Index (STI) is widely used but cannot assess nonlinear speech processing effects.
- Existing methods are insufficient for evaluating nonlinear speech enhancement algorithms.
Purpose of the Study:
- To propose a modified objective measure for speech intelligibility assessment that accommodates nonlinear digital signal processing.
- To introduce a new method, broadband STI (bSTI), capable of evaluating speech enhancement algorithms.
- To validate the proposed bSTI method against the established STI for various acoustic conditions.
Main Methods:
- Development of the broadband Speech Transmission Index (bSTI) based on comparing transmitted and received modulation envelope energy.
- Comparative analysis of bSTI and standard STI using ten selected impulse responses with known STI values.
- Testing the method's performance on signals altered by environmental factors and nonlinear digital signal processing algorithms.
Main Results:
- The proposed bSTI method demonstrates credibility in assessing speech intelligibility after nonlinear processing.
- bSTI provides a viable alternative to STI for scenarios involving nonlinear speech enhancement.
- Comparative analysis confirmed bSTI's effectiveness in evaluating modified speech signals.
Conclusions:
- The broadband Speech Transmission Index (bSTI) offers a reliable objective measure for speech intelligibility in the presence of nonlinear processing.
- bSTI extends the applicability of objective speech quality assessment to advanced speech enhancement technologies.
- This method facilitates the development and evaluation of new speech processing algorithms.
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