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Influence of Highly Inflected Word Forms and Acoustic Background on the Robustness of Automatic Speech Recognition for Human–Computer Interaction
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In: Mathematics; Volume 10; Issue 5; Pages: 711 (2022)
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Discriminative feature modeling for statistical speech recognition ...
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Cross-lingual acoustic modeling in upper sorbian - preliminary study
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In: Fraunhofer IKTS (2021)
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Glottal Stops in Upper Sorbian: A Data-Driven Approach
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In: Fraunhofer IKTS (2021)
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Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS ...
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Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS ...
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Dealing with linguistic mismatches for automatic speech recognition
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Speech recognition with probabilistic transcriptions and end-to-end systems using deep learning
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| 9 |
Phonetic Context Embeddings for DNN-HMM Phone Recognition
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In: Interspeech 2016 ; https://hal.sorbonne-universite.fr/hal-02166078 ; Interspeech 2016, Sep 2016, SAN FRANCISCO, United States. pp.405-409, ⟨10.21437/Interspeech.2016-1036⟩ (2016)
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| 11 |
Modeling of a rise-fall intonation pattern in the language of young Paris Speakers
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In: Speech Prosody ; https://halshs.archives-ouvertes.fr/halshs-01069584 ; Speech Prosody, 2014, 7, pp.814-818 (2014)
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| 12 |
Vers une modélisation acoustique de l'intonation des jeunes en région parisienne : une question de " proximité " ?
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In: ISSN: 1661-8246 ; EISSN: 1661-8246 ; Nouveaux Cahiers de Linguistique Française ; https://halshs.archives-ouvertes.fr/halshs-01069593 ; Nouveaux Cahiers de Linguistique Française, Université de Genève, 2014, 31, pp.257-171 (2014)
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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
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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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| 14 |
Modélisation acoustico-phonétique de langues peu dotées : Études phonétiques et travaux de reconnaissance automatique en luxembourgois
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In: Journées d'Etude sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843399 ; Journées d'Etude sur la Parole, Jan 2014, Le Mans, France (2014)
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Abstract:
Luxembourgish, a Germanic-Franconian language, is embedded in a multilingual context on thedivide between Romance and Germanic cultures and remains one of Europe’s under-describedlanguages. This paper investigates the similarity between Luxembourgish phone segments withGerman, French and English via forced speech alignment techniques. Making use of monolingualacoustic seed models from these three languages, as well as “multilingual” models trained onpooled speech data we investigated whether Luxembourgish was globally better represented byone of the individual languages or by the multilingual model. While globally, the German modelsprovide the best match, a phone-based analysis, shows language-specific preferences. First ASRresults illustrate the accuracy of the various sets of monolingual and multilingual acoustic modelsand Luxemburgish acoustic models built from 1200 hours of untranscribed Luxemburgish audiodata using unsupervised methods.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; acoustic modeling; Forced alignment.; large vocabulary speech recognition; Luxembourgish; multilingual models; under-resourced languages
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URL: https://hal.archives-ouvertes.fr/hal-01843399
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Speech Alignment and Recognition Experiments for Luxembourgish
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In: Proceedings of the 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; https://hal.archives-ouvertes.fr/hal-01134824 ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages, May 2014, Saint-Petersbourg, Russia. pp.53-60 ; http://www.mica.edu.vn/sltu2014/ (2014)
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A First LVCSR System for Luxembourgish, a Low-Resourced European Language
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In: Human Language Technology Challenges for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-01135103 ; Zygmunt Vetulani; Joseph Mariani. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.479-490, 2014, 5th Language and Technology Conference, LTC 2011, Poznań, Poland, November 25--27, 2011, Revised Selected Papers, 978-3-319-08957-7. ⟨10.1007/978-3-319-08958-4_39⟩ (2014)
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| 17 |
Impact of Video Modeling Techniques on Efficiency and Effectiveness of Clinical Voice Assessment
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In: http://rave.ohiolink.edu/etdc/view?acc_num=miami1398686540 (2014)
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| 18 |
Anger Recognition in Speech Using Acoustic and Linguistic Cues
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: Elsevier, 2013
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| 19 |
Detection of acoustic-phonetic landmarks in mismatched conditions using a biomimetic model of human auditory processing
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In: http://www.isle.uiuc.edu/%7Esborys/king_coling12.pdf (2012)
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Detection of acoustic-phonetic landmarks in mismatched conditions using a biomimetic model of human auditory processing
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In: http://aclweb.org/anthology/C/C12/C12-2058.pdf (2012)
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