A Model for Predicting Intelligibility of Binaurally Perceived Speech

Scharine, Angélique A.; Henry, Paula; Rao, Mohan D.; Dreyer, Jason T.

doi:10.21236/ada466840

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…The slope corresponded to the average of other intelligibility tests with a paradigm based on isolated words (3.2%/dB) [36,37]. The word recognition scores were higher than those found in the literature for non uniform pink noise at equivalent SNRs [38]. Intelligibility tests on sentences usually show steeper slopes (between 15 and 25%/dB according to [39]) indicating that the psychometric function is more precise.…”

Section: General Word Recognitionsupporting

confidence: 53%

Correction: Speech Recognition in Natural Background Noise

Meyer¹,

Dentel²,

Meunier³

2014

PLoS ONE

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In the real world, human speech recognition nearly always involves listening in background noise. The impact of such noise on speech signals and on intelligibility performance increases with the separation of the listener from the speaker. The present behavioral experiment provides an overview of the effects of such acoustic disturbances on speech perception in conditions approaching ecologically valid contexts. We analysed the intelligibility loss in spoken word lists with increasing listener-to-speaker distance in a typical low-level natural background noise. The noise was combined with the simple spherical amplitude attenuation due to distance, basically changing the signal-to-noise ratio (SNR). Therefore, our study draws attention to some of the most basic environmental constraints that have pervaded spoken communication throughout human history. We evaluated the ability of native French participants to recognize French monosyllabic words (spoken at 65.3 dB(A), reference at 1 meter) at distances between 11 to 33 meters, which corresponded to the SNRs most revealing of the progressive effect of the selected natural noise (28.8 dB to 218.4 dB). Our results showed that in such conditions, identity of vowels is mostly preserved, with the striking peculiarity of the absence of confusion in vowels. The results also confirmed the functional role of consonants during lexical identification. The extensive analysis of recognition scores, confusion patterns and associated acoustic cues revealed that sonorant, sibilant and burst properties were the most important parameters influencing phoneme recognition. . Altogether these analyses allowed us to extract a resistance scale from consonant recognition scores. We also identified specific perceptual consonant confusion groups depending of the place in the words (onset vs. coda). Finally our data suggested that listeners may access some acoustic cues of the CV transition, opening interesting perspectives for future studies.

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Section: General Word Recognitionsupporting

confidence: 53%

Correction: Speech Recognition in Natural Background Noise

Meyer¹,

Dentel²,

Meunier³

2014

PLoS ONE

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show abstract

“…Attempts have been made to design hearing protection devices that improve speech understanding while offering adequate protection against loud noises (Brammer & Laroche, 2012;Weatherless, Wilson, Garrett, Letowski, & Binseel, 2007). Substantial accomplishments have been made as well in developing models to better predict speech intelligibility in noise (Brammer & Laroche, 2012;Scharine, Henry, Rao, & Dreyer, 2007).…”

Section: Common Environmental Conditionsmentioning

confidence: 99%

Environmental conditions and physical stressors.

Redden¹,

Larkin²

2015

APA Handbook of Human Systems Integration.

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Speech Recognition in Natural Background Noise

2013

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In the real world, human speech recognition nearly always involves listening in background noise. The impact of such noise on speech signals and on intelligibility performance increases with the separation of the listener from the speaker. The present behavioral experiment provides an overview of the effects of such acoustic disturbances on speech perception in conditions approaching ecologically valid contexts. We analysed the intelligibility loss in spoken word lists with increasing listener-to-speaker distance in a typical low-level natural background noise. The noise was combined with the simple spherical amplitude attenuation due to distance, basically changing the signal-to-noise ratio (SNR). Therefore, our study draws attention to some of the most basic environmental constraints that have pervaded spoken communication throughout human history. We evaluated the ability of native French participants to recognize French monosyllabic words (spoken at 65.3 dB(A), reference at 1 meter) at distances between 11 to 33 meters, which corresponded to the SNRs most revealing of the progressive effect of the selected natural noise (−8.8 dB to −18.4 dB). Our results showed that in such conditions, identity of vowels is mostly preserved, with the striking peculiarity of the absence of confusion in vowels. The results also confirmed the functional role of consonants during lexical identification. The extensive analysis of recognition scores, confusion patterns and associated acoustic cues revealed that sonorant, sibilant and burst properties were the most important parameters influencing phoneme recognition. . Altogether these analyses allowed us to extract a resistance scale from consonant recognition scores. We also identified specific perceptual consonant confusion groups depending of the place in the words (onset vs. coda). Finally our data suggested that listeners may access some acoustic cues of the CV transition, opening interesting perspectives for future studies.

show abstract

A Model for Predicting Intelligibility of Binaurally Perceived Speech

Cited by 3 publications

References 30 publications

Correction: Speech Recognition in Natural Background Noise

Correction: Speech Recognition in Natural Background Noise

Environmental conditions and physical stressors.

Speech Recognition in Natural Background Noise

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