Syllable-rate-adjusted-modulation (SRAM) predicts clear and conversational speech intelligibility

Syllable-rate-adjusted-modulation (SRAM) predicts clear and conversational speech intelligibility

IntroductionObjectively predicting speech intelligibility is important in both telecommunication and human-machine interaction systems. The classic method relies on signal-to-noise ratios (SNR) to successfully predict speech intelligibility. One exception is clear speech, in which a talker intention...

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Bibliographic Details
Main Authors: Ye Yang, Fan-Gang Zeng
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Human Neuroscience
Subjects:
objective metric
speech intelligibility
clear speech
temporal modulation
automatic speech recognition
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2024.1324027/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2024.1324027/full

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