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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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Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
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In: Front Neurosci (2022)
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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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Using automatic speech recognition to predict aided speech-in-noise intelligibility
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In: Speech In Noise Workshop ; https://hal.archives-ouvertes.fr/hal-02960442 ; Speech In Noise Workshop, Jan 2020, Toulouse, France ; https://2020.speech-in-noise.eu/?p=program&id=105 (2020)
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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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Predicting Speech Perception in Older Listeners with Sensorineural Hearing Loss Using Automatic Speech Recognition
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Senescent Decline in Verbal-Emotion Identification by Older Hearing-Impaired Listeners – Do Hearing Aids Help?
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In: Clin Interv Aging (2020)
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Abstract:
PURPOSE: To assess the ability of older-adult hearing-impaired (OHI) listeners to identify verbal expressions of emotions, and to evaluate whether hearing-aid (HA) use improves identification performance in those listeners. METHODS: Twenty-nine OHI listeners, who were experienced bilateral-HA users, participated in the study. They listened to a 20-sentence-long speech passage rendered with six different emotional expressions (“happiness”, “pleasant surprise”, “sadness”, “anger”, “fear”, and “neutral”). The task was to identify the emotion portrayed in each version of the passage. Listeners completed the task twice in random order, once unaided, and once wearing their own bilateral HAs. Seventeen young-adult normal-hearing (YNH) listeners were also tested unaided as controls. RESULTS: Most YNH listeners (89.2%) correctly identified emotions compared to just over half of the OHI listeners (58.7%). Within the OHI group, verbal emotion identification was significantly correlated with age, but not with audibility-related factors. The number of OHI listeners who were able to correctly identify the different emotions did not significantly change when HAs were worn (54.8%). CONCLUSION: In line with previous investigations using shorter speech stimuli, there were clear age differences in the recognition of verbal emotions, with OHI listeners showing a significant reduction in unaided verbal-emotion identification performance that progressively declined with age across older adulthood. Rehabilitation through HAs did not provide compensation for the impaired ability to perceive emotions carried by speech sounds.
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Keyword:
Original Research
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URL: https://doi.org/10.2147/CIA.S281469
http://www.ncbi.nlm.nih.gov/pubmed/33173288
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648619/
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| 8 |
Using automatic speech recognition for the prediction of impaired speech identification
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In: 11th Speech in Noise Workshop (SPiN 2019) ; https://hal.archives-ouvertes.fr/hal-02976603 ; 11th Speech in Noise Workshop (SPiN 2019), Jan 2019, Ghent, Belgium ; https://spin2019.be/?p=program&id=88 (2019)
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| 9 |
Automatic Speech Recognition Predicts Speech Intelligibility and Comprehension for Listeners With Simulated Age-Related Hearing Loss
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In: ISSN: 1092-4388 ; EISSN: 1558-9102 ; Journal of Speech, Language, and Hearing Research ; https://hal.archives-ouvertes.fr/hal-01578677 ; Journal of Speech, Language, and Hearing Research, American Speech-Language-Hearing Association, 2017, pp.1-12. ⟨10.1044/2017_JSLHR-S-16-0269⟩ (2017)
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Automatic speech recognition predicts speech intelligibility and comprehension for listeners with simulated age-related hearing loss
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| 11 |
Using Phonologically Weighted Levenshtein Distances for the Prediction of Microscopic Intelligibility
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In: Proceedings of INTERSPEECH 2016 ; Annual conference Interspeech (INTERSPEECH 2016) ; https://hal.archives-ouvertes.fr/hal-01474904 ; Annual conference Interspeech (INTERSPEECH 2016), Sep 2016, San Francisco, CA, United States. pp. 650-654 (2016)
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Pronunciation assessment of Japanese learners of French with GOP scores and phonetic information
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In: Proceedings of INTERSPEECH 2016 ; Annual conference Interspeech (INTERSPEECH 2016) ; https://hal.archives-ouvertes.fr/hal-01474896 ; Annual conference Interspeech (INTERSPEECH 2016), Sep 2016, San Francisco, CA, United States. pp.2686-2690, ⟨10.21437/Interspeech.2016-513⟩ (2016)
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| 13 |
Traitement de la prononciation en langue étrangère : approches didactiques, méthodes automatiques et enjeux pour l'apprentissage
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In: ISSN: 1248-9433 ; EISSN: 1965-0906 ; Revue TAL ; https://hal.archives-ouvertes.fr/hal-01919021 ; Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2016, 57 (3), pp.15-39 (2016)
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| 14 |
Automatic Assessment of Speech Capability Loss in Disordered Speech
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In: ISSN: 1936-7228 ; EISSN: 1936-7236 ; ACM Transactions on Accessible Computing ; https://hal.archives-ouvertes.fr/hal-01371812 ; ACM Transactions on Accessible Computing , ACM New York, NY, USA 2015, 6 (3), pp.1-14. ⟨10.1145/2739051⟩ (2015)
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| 15 |
Automatic intelligibility measures applied to speech signals simulating age-related hearing loss
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In: Proceedings of INTERSPEECH 2015 ; 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015) ; https://hal.archives-ouvertes.fr/hal-01343047 ; 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015), Sep 2015, Dresden, Germany. pp. 663-667 (2015)
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| 16 |
Predicting disordered speech comprehensibility from Goodness of Pronunciation scores
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In: Proceedings of SLPAT 2015 ; Workshop on Speech and Language Processing for Assistive Technologies (SLPAT 2015) satellite workshop of Interspeech 2015 ; https://hal.archives-ouvertes.fr/hal-01316846 ; Workshop on Speech and Language Processing for Assistive Technologies (SLPAT 2015) satellite workshop of Interspeech 2015, Sep 2015, Dresden, Germany. pp. 1-5 (2015)
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| 17 |
Speech Intelligibility and Speech Comprehension in Babble Noise (Fontan et al., 2015) ...
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Speech Intelligibility and Speech Comprehension in Babble Noise (Fontan et al., 2015) ...
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