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1
Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
Dinkar, Tanvi. - : HAL CCSD, 2022
In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
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2
Corpus of metaphorical expressions in spoken Slovene language G-KOMET 1.0
Antloga, Špela; Donaj, Gregor. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022
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3
『昭和話し言葉コーパス』の設計と構築
丸山 岳彦; 小磯 花絵; 西川 賢哉. - : 国立国語研究所, 2022
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4
Об истории речевых исследований в России ... : About the history of speech research in Russia ...
Потапова, Р.К.; Потапов, В.В.. - : Издательство ГЕОС, 2022
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5
Corpus of British Isles Spoken English ...
Coats, Steven; Englantilainen Filologia. - : Steven Coats, 2022
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6
Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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7
Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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8
Multidimensional Coding of Multimodal Languaging in Multi-Party Settings ...
Aliyah Morgenstern; Christophe Parisse. - : NAKALA - https://nakala.fr (Huma-Num - CNRS), 2022
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9
Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System
In: Sensors; Volume 22; Issue 4; Pages: 1509 (2022)
Abstract: Successful applications of deep learning technologies in the natural language processing domain have improved text-based intent classifications. However, in practical spoken dialogue applications, the users’ articulation styles and background noises cause automatic speech recognition (ASR) errors, and these may lead language models to misclassify users’ intents. To overcome the limited performance of the intent classification task in the spoken dialogue system, we propose a novel approach that jointly uses both recognized text obtained by the ASR model and a given labeled text. In the evaluation phase, only the fine-tuned recognized language model (RLM) is used. The experimental results show that the proposed scheme is effective at classifying intents in the spoken dialogue system containing ASR errors.
Keyword: intent understanding; speech recognition; spoken dialogue system; spoken language modeling; task-oriented dialogue system
URL: https://doi.org/10.3390/s22041509
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10
Text+: Language- and text-based Research Data Infrastructure ...
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11
Text+: Language- and text-based Research Data Infrastructure ...
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12
Text+: Language- and text-based Research Data Infrastructure ...
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13
Corpus of North American Spoken English ...
Coats, Steven; Englantilainen Filologia. - : Steven Coats, 2022
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14
Das Perikopenbuch von Ivan Bandulavić. Versuch einer kulturhistorischen Wertung
Erdmann-Pandžić, Elisabeth von. - : Böhlau, 2022. : Köln, 2022
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15
De la clivée en th- à la structure the-N-is en anglais oral: vers une lecture discursive, prosodique et dialogique
Berthe, Florine. - 2022
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16
A multilingual corpus approach to postpredicativity in spoken Turkish, Kurmanji Kurdish and German
In: Proceedings of the Workshop on Turkic and Languages in Contact with Turkic; Vol 6 (2021); 5068 ; 2641-3485 (2022)
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17
The study of speech processes : addressing the writing bias in language science
Boucher, Victor. - Cambridge, United Kingdom : Cambridge University Press, 2021
BLLDB
UB Frankfurt Linguistik
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18
Enfants gitans à l'école et en famille : d'une analyse des dynamiques langagières en famille aux pratiques de classe
Auger, Nathalie (Herausgeber). - Lyon : ENS Éditions, 2021
BLLDB
UB Frankfurt Linguistik
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19
Histoire de la description de la parole: de l'introspection à l'instrumentation
Dodane, Christelle (Herausgeber); Azaoui, Brahim; Schweitzer, Claudia (Herausgeber). - Paris : Honoré Champion Éditeur, 2021
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UB Frankfurt Linguistik
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20
Geschriebene und gesprochene Sprache als Modalitäten eines Sprachsystems
Evertz, Martin (Hrsg.); Kirchhoff, Frank (Hrsg.). - Berlin; Boston, Mass. : de Gruyter, 2021
IDS Bibliografie zur deutschen Grammatik
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