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1
Categorization of Whistled Consonants by French Speakers
In: Interspeech 2020 - 21st Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03058856 ; Interspeech 2020 - 21st Annual Conference of the International Speech Communication Association, Oct 2020, Shanghai (Virtual Conf), China. pp.1600-1604, ⟨10.21437/Interspeech.2020-2683⟩ ; http://www.interspeech2020.org (2020)
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2
Whistled Vowel Identification by French Listeners
In: Interspeech 2020 - 21st Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03058850 ; Interspeech 2020 - 21st Annual Conference of the International Speech Communication Association, Oct 2020, Shanghai (Virtual Conf), China. pp.1605-1609, ⟨10.21437/Interspeech.2020-2697⟩ ; http://www.interspeech2020.org (2020)
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3
Categorization of Whistled Consonants by French Speakers
In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-03035412 ; Interspeech 2020, Oct 2020, Shanghai, France. pp.1600-1604, ⟨10.21437/Interspeech.2020-2683⟩ (2020)
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4
Loud and Shouted Speech Perception at Variable Distances in a Forest
In: Interspeech 2018 ; Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01961079 ; Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyperabad, India. pp.2285-2289, ⟨10.21437/interspeech.2018-2089⟩ (2018)
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5
Phoneme Resistance and Phoneme Confusion in Noise: Impact of Dyslexia
In: Proceedings of Interspeech 2018 ; Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01961066 ; Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyperabad, India. pp.2290-2294, ⟨10.21437/interspeech.2018-1271⟩ ; http://interspeech2018.org/ (2018)
Abstract: International audience ; Understanding speech in noisy environments is a challenge for almost everyone and particularly so for people with dyslexia. To better understand the phonological processing deficit, which has been posited as a core trait of dyslexia, we wanted to further characterize the impact of noise on speech perception. In this paper, we investigated phoneme resistance to noise for dyslexic and control adults and explored the pattern of errors produced by noise interference. Our aim was to examine differences between phoneme confusion matrices of the two populations. Disyllabic nouns were embedded in noise and participants had to perform an auditory word identification task. Error rates, phoneme resistance and phoneme confusions were compared between a dyslexic and a group of matched controls. Error rate was higher in the dyslexic group. However, no qualitative differences in the profile of errors were found. The coronals /ʃ and s/ were the most resistant phoneme in both groups while the labials /f, m and v/ were the most vulnerable. Although dyslexics showed a more scattered pattern of confusions, the matrices were correlated. Our results confirm a phonological deficit in dyslexia whereas they do not support the hypothesis of qualitative differences in phonological representation between the two groups.
Keyword: [SCCO.LING]Cognitive science/Linguistics; [SCCO.NEUR]Cognitive science/Neuroscience; [SCCO.PSYC]Cognitive science/Psychology; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; [SHS]Humanities and Social Sciences; dyslexia; phoneme confusion; phoneme resistance; speech-in-noise; word identification
URL: https://hal.archives-ouvertes.fr/hal-01961066
https://doi.org/10.21437/interspeech.2018-1271
https://hal.archives-ouvertes.fr/hal-01961066/file/1271.pdf
https://hal.archives-ouvertes.fr/hal-01961066/document
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6
Categorization of natural whistled vowels by naïve listeners of different language background
In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.univ-grenoble-alpes.fr/hal-01423532 ; Frontiers in Psychology, Frontiers, 2017, 8, ⟨10.3389/fpsyg.2017.00025⟩ (2017)
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7
Catégorisation de voyelles sifflées par des locuteurs naïfs issus de trois langues (espagnol, français, chinois standard)
In: RFP 2016 - 14èmes rencontres du Réseau Français de Phonologie ; https://hal.univ-grenoble-alpes.fr/hal-01423478 ; RFP 2016 - 14èmes rencontres du Réseau Français de Phonologie, Jun 2016, Nice, France (2016)
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8
Categorization of natural Spanish whistled vowels by naïve Spanish listeners
In: Interspeech 2016 - 17th Annual Conference of the International Speech Communication Association ; https://hal.univ-grenoble-alpes.fr/hal-01423374 ; Interspeech 2016 - 17th Annual Conference of the International Speech Communication Association, Sep 2016, San Francisco, United States ; http://www.interspeech2016.org/ (2016)
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9
Speech Recognition Experiment in 'Natural Quiet' Background Noise
In: International Congress of Phonetic Sciences ; https://hal.archives-ouvertes.fr/hal-01860821 ; International Congress of Phonetic Sciences, Aug 2015, Glasgow, United Kingdom (2015)
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