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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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Abstract:
Edited by: Qinglin Meng, South China University of Technology, China ; International audience ; Automatic speech recognition (ASR), when combined with hearing-aid (HA) and hearing-loss (HL) simulations, can predict aided speech-identification performances of persons with age-related hearing loss. ASR can thus be used to evaluate different HA configurations, such as combinations of insertion-gain functions and compression thresholds, in order to optimize HA fitting for a given person. The present study investigated whether, after fixing compression thresholds and insertion gains, a random-search algorithm could be used to optimize time constants (i.e., attack and release times) for 12 audiometric profiles. The insertion gains were either those recommended by the CAM2 prescription rule or those optimized using ASR, while compression thresholds were always optimized using ASR. For each audiometric profile, the random-search algorithm was used to vary time constants with the aim to maximize ASR performance. A HA simulator and a HL simulator simulator were used, respectively, to amplify and to degrade speech stimuli according to the input audiogram. The resulting speech signals were fed to an ASR system for recognition. For each audiogram, 1,000 iterations of the random-search algorithm were used to find the time-constant configuration yielding the highest ASR score. To assess the reproducibility of the results, the random search algorithm was run twice. Optimizing the time constants significantly improved the ASR scores when CAM2 insertion gains were used, but not when using ASR-based gains. Repeating the random search yielded similar ASR scores, but different time-constant configurations.
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Keyword:
[INFO]Computer Science [cs]; age-related hearing loss (ARHL); attack time; automatic speech recognition (ASR); compression speed; hearing aids (HAs); random search (RS); release time
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URL: https://doi.org/10.3389/fnins.2022.779062
https://hal.archives-ouvertes.fr/hal-03627441
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| 2 |
Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
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In: Front Neurosci (2022)
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| 3 |
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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| 4 |
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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| 5 |
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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| 6 |
Predicting Speech Perception in Older Listeners with Sensorineural Hearing Loss Using Automatic Speech Recognition
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| 7 |
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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| 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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| 10 |
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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| 12 |
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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| 18 |
Speech Intelligibility and Speech Comprehension in Babble Noise (Fontan et al., 2015) ...
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