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1
Voice quality : the laryngeal articulator model
Esling, John H.; Benner, Allison; Crevier-Buchman, Lise. - Cambridge, United Kingdom : Cambridge University Press, 2019
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UB Frankfurt Linguistik
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2
The Airbus Air Traffic Control speech recognition 2018 challenge: towards ATC automatic transcription and call sign detection
In: Proceedings of INTERSPEECH 2019 ; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019) ; https://hal.archives-ouvertes.fr/hal-02419437 ; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019), Sep 2019, Graz, Austria. pp.2993-2997 (2019)
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3
Challenges in Audio Processing of Terrorist-Related Data
In: International Conference on Multimedia Modeling ; https://hal.archives-ouvertes.fr/hal-02415176 ; International Conference on Multimedia Modeling, Springer, Jan 2019, Thessaloniki, Greece (2019)
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4
Char+CV-CTC: Combining Graphemes and Consonant/Vowel Units for CTC-Based ASR Using Multitask Learning
In: Proceedings of INTERSPEECH 2019 ; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019) ; https://hal.archives-ouvertes.fr/hal-02419431 ; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019), Sep 2019, Graz, Austria. pp.1611-1615 (2019)
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5
Interests of using Automatic Speech recognition for Speech-Language Therapists
In: World Congress of the International Association of Logopedics and Phoniatrics ; https://hal.archives-ouvertes.fr/hal-03012571 ; World Congress of the International Association of Logopedics and Phoniatrics, IALP : International Association of Logopedics and Phoniatrics, Aug 2019, Taipei, Taiwan. pp.(electronic medium) ; http://www.ialptaipei2019.org/ (2019)
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6
Challenges in Audio Processing of Terrorist-Related Data
In: International Conference on Multimedia Modeling ; https://hal.archives-ouvertes.fr/hal-02387373 ; International Conference on Multimedia Modeling, Springer, Jan 2019, Thessaloniki, Greece (2019)
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7
Extractive Text-Based Summarization of Arabic videos: Issues, Approaches and Evaluations
In: ICALP: International Conference on Arabic Language Processing ; https://hal.archives-ouvertes.fr/hal-02314238 ; ICALP: International Conference on Arabic Language Processing, Oct 2019, Nancy, France. pp.65-78, ⟨10.1007/978-3-030-32959-4_5⟩ (2019)
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8
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning
In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02298417 ; Interspeech 2019, Sep 2019, Graz, Austria. pp.799-803, ⟨10.21437/Interspeech.2019-2732⟩ (2019)
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9
Deception in Spoken Dialogue: Classification and Individual Differences
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10
A Perceptual Study of CV Syllables in both Spoken and Whistled Speech: a Tashlhiyt Berber Perspective
In: Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02371794 ; Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria. ⟨10.21437/Interspeech.2019-2251⟩ (2019)
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11
Comparing unsupervised speech learning directly to human performance in speech perception
In: Proceedings of the Annual Conference of the Cognitive Science Society (Cog Sci) ; CogSci 2019 - 41st Annual Meeting of Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-02274499 ; CogSci 2019 - 41st Annual Meeting of Cognitive Science Society, Jul 2019, Montréal, Canada (2019)
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12
Issues in L2 phonological processing ; Questions sur le traitement phonologique en langue seconde
Melnik, Gerda Ana. - : HAL CCSD, 2019
In: https://tel.archives-ouvertes.fr/tel-02304656 ; Linguistics. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEE007⟩ (2019)
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13
Using automatic speech recognition for the prediction of impaired speech identification
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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14
Learning representations of speech from the raw waveform ; Apprentissage de représentations de la parole à partir du signal brut
Zeghidour, Neil. - : HAL CCSD, 2019
In: https://tel.archives-ouvertes.fr/tel-02278616 ; Machine Learning [cs.LG]. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEE004⟩ (2019)
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15
Phonetic lessons from automatic phonemic transcription: preliminary reflections on Na (Sino-Tibetan) and Tsuut’ina (Dene) data
In: ICPhS XIX (19th International Congress of Phonetic Sciences) ; https://halshs.archives-ouvertes.fr/halshs-02059313 ; ICPhS XIX (19th International Congress of Phonetic Sciences), Aug 2019, Melbourne, Australia ; https://icphs2019.org/icphs2019-fullpapers/ (2019)
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16
The role of working memory for syntactic formulation in language production.
In: Journal of experimental psychology. Learning, memory, and cognition, vol 45, iss 10 (2019)
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17
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?
In: INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-02166434 ; INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019)
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18
Summarizing videos into a target language: Methodology, architectures and evaluation
In: ISSN: 1064-1246 ; EISSN: 1875-8967 ; Journal of Intelligent and Fuzzy Systems ; https://hal.archives-ouvertes.fr/hal-02271287 ; Journal of Intelligent and Fuzzy Systems, IOS Press, 2019, 1, pp.1-12. ⟨10.3233/JIFS-179350⟩ (2019)
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19
Automatic speech recognition in Laryngology & Phoniatrics practice
In: Congress of European ORL-HNS ; https://hal.archives-ouvertes.fr/hal-02172743 ; Congress of European ORL-HNS, 2019, Bruxelles, Belgium (2019)
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20
Speech Emotion Recognition: Recurrent Neural Networks compared to SVM and Linear Regression
In: Artificial Neural Networks and Machine Learning – ICANN 2017 ; https://hal.archives-ouvertes.fr/hal-02432632 ; Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Verschure; Alessandro E.P. Villa. Artificial Neural Networks and Machine Learning – ICANN 2017, 10613, Springer International Publishing, pp.451-453, 2019, Lecture Notes in Computer Science ; https://link.springer.com/book/10.1007%2F978-3-319-68600-4?page=2#toc (2019)
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