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Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
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In: ISSN: 1662-4548 ; EISSN: 1662-453X ; Frontiers in Neuroscience ; https://hal.archives-ouvertes.fr/hal-03627441 ; Frontiers in Neuroscience, Frontiers, 2022, 16 (779062), ⟨10.3389/fnins.2022.779062⟩ ; https://www.frontiersin.org/articles/10.3389/fnins.2022.779062/full (2022)
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Intelligibility and comprehensibility: A Delphi consensus study
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In: ISSN: 1368-2822 ; EISSN: 1460-6984 ; International Journal of Language and Communication Disorders ; https://hal.archives-ouvertes.fr/hal-03543198 ; International Journal of Language and Communication Disorders, Wiley, 2022, 57 (1), pp.21 - 41. ⟨10.1111/1460-6984.12672⟩ ; https://onlinelibrary.wiley.com/doi/10.1111/1460-6984.12672 (2022)
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| 3 |
Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
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In: Front Neurosci (2022)
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| 4 |
Assessment of adult speech disorders: current situation and needs in French-speaking clinical practice
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In: ISSN: 1401-5439 ; Logopedics Phoniatrics Vocology ; https://hal.archives-ouvertes.fr/hal-03120115 ; Logopedics Phoniatrics Vocology, Taylor & Francis, 2021, pp.1-15. ⟨10.1080/14015439.2020.1870245⟩ (2021)
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| 5 |
EVOLEX : la reconnaissance vocale au service du diagnostic des dysfonctionnements langagiers
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In: Séminaire AFCP 2021 – Phonétique Clinique ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269242 ; Séminaire AFCP 2021 – Phonétique Clinique, May 2021, Toulouse (virtuel), France ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021)
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| 6 |
Relationship between phoneme-level spectral acoustics and speech intelligibility in healthy speech: a systematic review
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In: ISSN: 1092-4388 ; EISSN: 1558-9102 ; Journal of Speech, Language, and Hearing Research ; https://hal.archives-ouvertes.fr/hal-03543196 ; Journal of Speech, Language, and Hearing Research, American Speech-Language-Hearing Association, 2021, In a new world of research, what do we already know? Systematic and scoping reviews in Speech, Language and Hearing, 24 (2), pp.105 - 132. ⟨10.1080/2050571x.2021.1913300⟩ ; https://www.tandfonline.com/doi/abs/10.1080/2050571X.2021.1913300?journalCode=yslh20 (2021)
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| 7 |
Construction of an automatic score for the evaluation of speech disorders among patients treated for a cancer of the oral cavity or the oropharynx: The Carcinologic Speech Severity Index
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In: ISSN: 1043-3074 ; EISSN: 1097-0347 ; Head and Neck ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03413678 ; Head and Neck, Wiley, In press, ⟨10.1002/hed.26903⟩ (2021)
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| 8 |
C2SI corpus: a database of speech disorder productions to assess intelligibility and quality of life in head and neck cancers
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-02921918 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (1), pp.173-190. ⟨10.1007/s10579-020-09496-3⟩ ; https://link.springer.com/article/10.1007/s10579-020-09496-3 (2021)
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| 9 |
Construction d'un index holistique d'impact sur la communication des troubles de la parole chez les patients traités pour un cancer oral ou oropharyngé
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In: Séminaire AFCP 2021, Thème : Phonétique Clinique ; https://hal.archives-ouvertes.fr/hal-03258582 ; Séminaire AFCP 2021, Thème : Phonétique Clinique, May 2021, Toulouse (virtuel), France. 2021 ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021)
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| 10 |
Une méthode automatique non supervisée pour évaluer le score de sévérité de la parole chez les patients traités pour un cancer ORL
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In: Séminaire AFCP 2021 – Phonétique Clinique ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269228 ; Séminaire AFCP 2021 – Phonétique Clinique, May 2021, Toulouse (virtuel), France. 2021 ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021)
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| 11 |
Simulating reading mistakes for child speech Transformer-based phone recognition
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In: Annual Conference of the International Speech Communication Association (INTERSPEECH) ; https://hal.archives-ouvertes.fr/hal-03257870 ; Annual Conference of the International Speech Communication Association (INTERSPEECH), Aug 2021, Brno, Czech Republic (2021)
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| 12 |
End-to-end acoustic modelling for phone recognition of young readers
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-03373156 ; Speech Communication, Elsevier : North-Holland, 2021, 134, pp.71-84. ⟨10.1016/j.specom.2021.08.003⟩ ; https://www.sciencedirect.com/science/article/pii/S0167639321000959?via%3Dihub (2021)
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Abstract:
International audience ; Automatic recognition systems for child speech are lagging behind those dedicated to adult speech in the race of performance. This phenomenon is due to the high acoustic and linguistic variability present in child speech caused by their body development, as well as the lack of available child speech data. Young readers’ speech additionally displays peculiarities, such as slow reading rate and presence of reading mistakes, that hardens the task. This work attempts to tackle the main challenges in phone acoustic modelling for young child speech with limited data and improve understanding of strengths and weaknesses of a wide selection of model architectures in this domain. We find that transfer learning techniques are highly efficient on end-to-end architectures for adult-to-child adaptation with a small amount of child speech data. Through transfer learning, a Transformer model complemented with a Connectionist Temporal Classification (CTC) objective function, reaches a phone error rate of 28.1%, outperforming a state-of-the-art DNN–HMM model by 6.6% relative, as well as other end-to-end architectures by more than 8.5% relative. An analysis of the models’ performance on two specific reading tasks (isolated words and sentences) is provided, showing the influence of the utterance length on attention-based and CTC-based models. The Transformer+CTC model displays an ability to better detect reading mistakes made by children, which can be attributed to the CTC objective function effectively constraining the attention mechanisms to be monotonic.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; child speech; connectionist temporal classification; low-resource; phone recognition; transfer learning; transformer
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URL: https://hal.archives-ouvertes.fr/hal-03373156
https://doi.org/10.1016/j.specom.2021.08.003
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| 13 |
L'apport du geste dans l'acquisition de la prononciation en L2 via un outil d'apprentissage en ligne : une étude pilote
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In: Journées d'études du GIS Réseau d'acquisition des langues secondes (REAL2 2021) ; https://hal.archives-ouvertes.fr/hal-03428242 ; Journées d'études du GIS Réseau d'acquisition des langues secondes (REAL2 2021), Nov 2021, Paris, France ; http://www.inalco.fr/evenement/journees-etudes-gis-reseau-acquisition-langues-secondes-real2-acquisition-didactique-vice (2021)
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| 14 |
End-to-end acoustic modelling for phone recognition of young readers ...
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| 16 |
Functional impact of speech disorders in patients treated for oral or oropharyngeal cancer, assessed by perceptual and automatic measurements
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In: 2020 Motor Speech Conference ; https://hal.archives-ouvertes.fr/hal-02505380 ; 2020 Motor Speech Conference, Feb 2020, Santa Barbara, United States. ⟨10.13140/RG.2.2.35402.52168⟩ (2020)
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| 17 |
Subjective Evaluation of Comprehensibility in Movie Interactions
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In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-03536555 ; 12th Conference on Language Resources and Evaluation (LREC 2020), European Language Resources Association (ELRA), May 2020, Marseille, France. pp.2348-2357 ; https://aclanthology.org/2020.lrec-1.286/ (2020)
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| 18 |
Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review
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In: ISSN: 1043-3074 ; EISSN: 1097-0347 ; Head and Neck ; https://hal.archives-ouvertes.fr/hal-02492761 ; Head and Neck, Wiley, 2020, 42 (1), pp.111-130. ⟨10.1002/hed.25949⟩ (2020)
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| 19 |
A new measure to predict the a priori performance of automatic transcription systems on reverberated speech
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In: Speech In Noise Workshop - SpiN 2019 ; https://hal.archives-ouvertes.fr/hal-02976602 ; Speech In Noise Workshop - SpiN 2019, Jan 2019, Ghent, Belgium ; https://spin2019.be/?p=program&id=86 (2019)
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| 20 |
EVOLEX : apport de la reconnaissance vocale pour le diagnostic des dysfonctionnements cognitifs légers
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In: Actes des 8e Journees de Phonetique Clinique ; 8e Journees de Phonetique Clinique (JPC 2019) ; https://hal.archives-ouvertes.fr/hal-02442023 ; 8e Journees de Phonetique Clinique (JPC 2019), May 2019, Mons, Belgique. pp.105-106 (2019)
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