Type of Publication: | Journal article |
Publication status: | Published |
Author: | Aubanel, Vincent; Bayard, Clémence; Strauß, Antje; Schwartz, Jean-Luc |
Year of publication: | 2020 |
Published in: | Speech Communication ; 124 (2020). - pp. 68-74. - Elsevier. - ISSN 0167-6393. - eISSN 1872-7182 |
DOI (citable link): | https://dx.doi.org/10.1016/j.specom.2020.07.004 |
Summary: |
The current study describes the collection of a new phonemically-balanced sentence resource for French, known as the Fharvard corpus. The resource consists of 700 sentences inspired by the original English Harvard sentences, along with audio recordings from one female and one male native French talker. Each of the sentences contains five mono- or bisyllabic keywords and are grouped into 70 lists of 10 sentences using an automatic phoneme-balancing procedure. Twenty-three normal-hearing French listeners identified keywords in the Fharvard sentences in speech-shaped noise. Psychometric functions for the Fharvard sentences indicate mean speech reception thresholds of −4.48 and −3.87 dB and slopes of 10.55 and 12.52 percentage points per dB at the 50% keywords correct point for the female and male talkers respectively. The complete list of Fharvard sentences and the associated audio recordings are available online for speech perception testing.
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Subject (DDC): | 400 Philology, Linguistics |
Keywords: | Speech perception; Noise; Psychoacoustics/hearing science; Behavioural measures; Speech intelligibility; Speech database; French |
Bibliography of Konstanz: | Yes |
Refereed: | Yes |
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AUBANEL, Vincent, Clémence BAYARD, Antje STRAUSS, Jean-Luc SCHWARTZ, 2020. The Fharvard corpus : A phonemically-balanced French sentence resource for audiology and intelligibility research. In: Speech Communication. Elsevier. 124, pp. 68-74. ISSN 0167-6393. eISSN 1872-7182. Available under: doi: 10.1016/j.specom.2020.07.004
@article{Aubanel2020Fharv-52184, title={The Fharvard corpus : A phonemically-balanced French sentence resource for audiology and intelligibility research}, year={2020}, doi={10.1016/j.specom.2020.07.004}, volume={124}, issn={0167-6393}, journal={Speech Communication}, pages={68--74}, author={Aubanel, Vincent and Bayard, Clémence and Strauß, Antje and Schwartz, Jean-Luc} }
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