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Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
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In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
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Corpus of metaphorical expressions in spoken Slovene language G-KOMET 1.0
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Об истории речевых исследований в России ... : About the history of speech research in Russia ...
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Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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Proceedings of the International Conference on "Minority languages spoken or signed and inclusive spaces" ...
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Multidimensional Coding of Multimodal Languaging in Multi-Party Settings ...
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Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ...
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Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
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Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
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Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System
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In: Sensors; Volume 22; Issue 4; Pages: 1509 (2022)
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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.
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Keyword:
intent understanding; speech recognition; spoken dialogue system; spoken language modeling; task-oriented dialogue system
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URL: https://doi.org/10.3390/s22041509
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Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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Text+: Language- and text-based Research Data Infrastructure ...
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| 16 |
Das Perikopenbuch von Ivan Bandulavić. Versuch einer kulturhistorischen Wertung
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De la clivée en th- à la structure the-N-is en anglais oral: vers une lecture discursive, prosodique et dialogique
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DCT vs. corpus orales: reflexiones metodológicas sobre el estudio de los actos de habla ; DCT vs. spoken corpora: methodologic reflections on the study of speech acts
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In: Pragmalingüística, (29), 377-395 (2022)
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A multilingual corpus approach to postpredicativity in spoken Turkish, Kurmanji Kurdish and German
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In: Proceedings of the Workshop on Turkic and Languages in Contact with Turkic; Vol 6 (2021); 5068 ; 2641-3485 (2022)
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