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1
Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants
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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2
Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy
In: Sensors; Volume 22; Issue 8; Pages: 3027 (2022)
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3
Online Speech Recognition Using Multichannel Parallel Acoustic Score Computation and Deep Neural Network (DNN)- Based Voice-Activity Detector
In: Applied Sciences ; Volume 10 ; Issue 12 (2020)
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4
Semantic Features Based N-Best Rescoring Methods for Automatic Speech Recognition
In: Applied Sciences ; Volume 9 ; Issue 23 (2019)
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5
Towards the automatic processing of Yongning Na (Sino-Tibetan): developing a 'light' acoustic model of the target language and testing 'heavyweight' models from five national languages
In: Proceedings of the 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU 2014) ; 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU 2014) ; https://halshs.archives-ouvertes.fr/halshs-00980431 ; 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU 2014), May 2014, St Petersburg, Russia. pp.153-160 (2014)
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6
Speech recognition as a retrieval problem
In: Fraunhofer IAIS (2013)
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7
Acoustic model adaptation for recognition of dysarthric speech
Sharma, Harsh. - 2012
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8
Pronunciation modeling for large vocabulary speech recognition
Kantor, Arthur. - 2010
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9
Using voice recognition as an input medium to the JINTACCS Automated Message Preparation System (JAMPS)
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