#3719. Increasing speech intelligibility and naturalness in noise based on concepts of modulation spectrum and modulation transfer function

July 2026publication date
Proposal available till 08-06-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Language and Linguistics;
Linguistics and Language;
Communication;
Modeling and Simulation;
Computer Science Applications;
Computer Vision and Pattern Recognition;
Software;
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Abstract:
The research focuses on identifying effective features for controlling speech to increase speech intelligibility under adverse conditions. Among them, a method based on modulation transfer function theory, inverting the environmental effects to anticipate attenuation of speech modulation spectrum, shows excellent potential due to its systematic and explicit derivation of intelligibility enhancement against environmental smears. Strictly following the inverse modulation transfer function is dangerous and inefficient as important speech features can be damaged, and it costs lots of energy to boost all smeared regions. The authors conduct listening tests for intelligibility in noise with different types of enhanced speech. Finally, we examine the intelligibility benefits of modifying these components by performing listening tests.
Keywords:
Intelligibility; Modulation spectrum; Modulation transfer function

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