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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 72 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) BASE Show details 2 Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ... Liu, Linda. - : Open Science Framework, 2022 BASE Show details 3 Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System June-Woo Kim; Hyekyung Yoon; Ho-Young Jung In: Sensors; Volume 22; Issue 4; Pages: 1509 (2022) BASE Show details 4 Where are we in semantic concept extraction for Spoken Language Understanding? ⋆ Ghannay, Sahar; Caubrière, Antoine; Mdhaffar, Salima... In: SPECOM 2021 23rd International Conference on Speech and Computer ; https://hal.archives-ouvertes.fr/hal-03372494 ; SPECOM 2021 23rd International Conference on Speech and Computer, Sep 2021, Saint Petersburg, Russia (2021) BASE Show details 5 Adaptation and generalization during accent adaptation ... Liu, Linda. - : Open Science Framework, 2021 BASE Show details 6 Phonetic detail is used to predict a word’s morphological composition ... Clayards, Meghan; Gaskell, Gareth; Hawkins, Sarah. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 7 Learning speech embeddings for speaker adaptation and speech understanding Sari, Leda. - 2021 BASE Show details 8 Modeling phones, keywords, topics and intents in spoken languages Chen, Wenda. - 2021 BASE Show details 9 What is best for Spoken Language Understanding: Small but Task-dependant Embeddings or Huge but Out-of-domain Embeddings? Ghannay, Sahar; Neuraz, Antoine; Rosset, Sophie In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.archives-ouvertes.fr/hal-02503694 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelone, Spain (2020) BASE Show details 10 The importance of fillers for text representations of speech transcripts Dinkar, Tanvi; Colombo, Pierre; Labeau, Matthieu... In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.archives-ouvertes.fr/hal-03134854 ; Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, Nov 2020, Online, Dominican Republic. pp.7985-7993, ⟨10.18653/v1/2020.emnlp-main.641⟩ (2020) BASE Show details 11 SLURP: A Spoken Language Understanding Resource Package ... Bastianelli, Emanuele; Vanzo, Andrea; Swietojanski, Pawel. - : Zenodo, 2020 BASE Show details 12 SLURP: A Spoken Language Understanding Resource Package ... Bastianelli, Emanuele; Vanzo, Andrea; Swietojanski, Pawel. - : Zenodo, 2020 BASE Show details 13 Towards Programming in Natural Language: Learning New Functions from Spoken Utterances ... Weigelt, Sebastian; Steurer, Vanessa; Hey, Tobias. - : World Scientific Publishing, 2020 BASE Show details 14 Towards Programming in Natural Language: Learning New Functions from Spoken Utterances Hey, Tobias; Weigelt, Sebastian; Steurer, Vanessa... In: International journal of semantic computing, 14 (2), 249–272 ; ISSN: 1793-351X, 1793-7108 (2020) BASE Show details 15 Neural Models for Integrating Prosody in Spoken Language Understanding Tran, Trang. - 2020 BASE Show details 16 Advances in deep learning methods for speech recognition and understanding Serdyuk, Dmitriy. - 2020 BASE Show details 17 Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning Marzinotto, Gabriel; Damnati, Geraldine; Béchet, Frédéric 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) BASE Show details 18 Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling Dinarelli, Marco; Grobol, Loïc In: CICLing 2019 - 20th International Conference on Computational Linguistics and Intelligent Text Processing ; https://hal.inria.fr/hal-02085093 ; CICLing 2019 - 20th International Conference on Computational Linguistics and Intelligent Text Processing, Apr 2019, La Rochelle, France (2019) BASE Show details 19 Intelligibility and Listening Effort of Spanish Oesophageal Speech Sneha Raman; Luis Serrano; Axel Winneke... In: Applied Sciences ; Volume 9 ; Issue 16 (2019) BASE Show details 20 Data-Driven Language Understanding for Spoken Dialogue Systems ... Mrkšić, Nikola. - : Apollo - University of Cambridge Repository, 2018 BASE Show details Page: 1 2 3 4

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