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Unveiling Lombard speech flavors: A comprehensive categorization based on perceived intelligibility beyond loudness
Xingyu Liu1, Yuhong Yang1,2, Qingmu Liu1
1National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, Hubei 430000, China.
The Lombard effect enhances speech in noise through distinct vocal "flavors" beyond just loudness. These adaptations significantly improve intelligibility by altering acoustic features, benefiting speech technologies.
Area of Science:
- Acoustic Phonetics
- Speech Communication
- Psychoacoustics
Background:
- The Lombard effect describes involuntary speech adjustments in noise to maintain intelligibility.
- Existing research often focuses on loudness changes, overlooking other acoustic modifications.
Purpose of the Study:
- To categorize Lombard speech into distinct "flavors" based on intelligibility beyond loudness.
- To investigate non-loudness acoustic modifications that enhance speech intelligibility.
- To identify specific acoustic features associated with different Lombard speech flavors.
Main Methods:
- Collected a Lombard speech dataset from 10 speakers across 11 noise levels (30-80 dBA) and two noise types (steady speech-shaped noise and dynamic babble).
- Utilized iterative paired-sample t tests to assess intelligibility of loudness-controlled Lombard speech.
- Performed acoustic analysis on identified Lombard flavors, examining fundamental frequency (F0), alpha ratio, formant frequencies, and vowel characteristics.
Main Results:
- Identified three Lombard flavors for steady speech-shaped noise (LF.0, LF.1, LF.2) and four for babble noise (LF.0, LF.1, LF.2, LF.3), with LF.0 being plain speech.
- Higher Lombard flavors showed significantly increased F0, alpha ratio, formant frequencies (F1/F2), vowel duration, and vowel ratio.
- These acoustic changes correlated with progressively higher perceived intelligibility.
Conclusions:
- Lombard speech intelligibility is enhanced by non-loudness acoustic modifications, categorized into distinct "flavors".
- Findings provide insights into intelligibility mechanisms beyond increased vocal effort.
- Results can inform the development of speech technologies like hearing aids and telecommunication systems to optimize speech clarity.
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