Interspeech 2020 2020
DOI: 10.21437/interspeech.2020-3095
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Bilingual Acoustic Voice Variation is Similarly Structured Across Languages

Abstract: When a bilingual switches languages, do they switch their "voice"? Using a new conversational corpus of speech from early Cantonese-English bilinguals (N = 34), this paper examines the talker-specific acoustic signature of bilingual voices. Following prior work in voice quality variation, 24 filter and source-based acoustic measurements are estimated. The analysis summarizes mean differences for these dimensions, in addition to identifying the underlying structure of each talker's voice across languages with p… Show more

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Cited by 3 publications
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“…While we follow previous work in our implementation of the voice disguise (Holmes et al, 2018;Mitterer et al, 2020 ), an individual's voice identity is available in other spectral and temporal patterns. Speakers vary in terms of their unique voice profiles (Lee et al, 2019;Johnson et al, 2020) and listeners exploit different acoustic cues for talker identification (Van Lancker et al, 1985;Lavner et al, 2000). Schuerman et al (2015Schuerman et al ( , 2019 did not find support for an own-voice advantage within an individual's first language when presenting noise-vocoded speech, a type of degradation in which many spectral cues important to talker identification are severely reduced, though Schuerman (2017) finds some evidence for an own-voice benefit for word recognition in sentences for speech in noise, which better retains talker-specific information.…”
Section: Discussionmentioning
confidence: 99%
“…While we follow previous work in our implementation of the voice disguise (Holmes et al, 2018;Mitterer et al, 2020 ), an individual's voice identity is available in other spectral and temporal patterns. Speakers vary in terms of their unique voice profiles (Lee et al, 2019;Johnson et al, 2020) and listeners exploit different acoustic cues for talker identification (Van Lancker et al, 1985;Lavner et al, 2000). Schuerman et al (2015Schuerman et al ( , 2019 did not find support for an own-voice advantage within an individual's first language when presenting noise-vocoded speech, a type of degradation in which many spectral cues important to talker identification are severely reduced, though Schuerman (2017) finds some evidence for an own-voice benefit for word recognition in sentences for speech in noise, which better retains talker-specific information.…”
Section: Discussionmentioning
confidence: 99%