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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 5...7 Hits 1 – 20 of 133 1 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 2 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 3 МЕХАНИЗМЫ МЫШЛЕНИЯ И ИХ ФУНКЦИОНИРОВАНИЕ В ПРОЦЕССЕ ПЕРЕВОДЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ... : MECHANISMS OF THINKING AND THEIR FUNCTIONING IN THE PROCESS OF TRANSLATION ACTIVITY ... Н.В. Кондрашова. - : Мир науки, культуры, образования, 2021 BASE Show details 4 Adaptation and generalization during accent adaptation ... Liu, Linda. - : Open Science Framework, 2021 BASE Show details 5 Peculiarities of Children's Understanding of the Figurative Meaning of Phrases and their Use in Spontaneous Speech: The relevant a State of Development ... Nataliia, Kharchenko; Inna, Mysan. - : Zenodo, 2021 BASE Show details 6 Peculiarities of Children's Understanding of the Figurative Meaning of Phrases and their Use in Spontaneous Speech: The relevant a State of Development ... Nataliia, Kharchenko; Inna, Mysan. - : Zenodo, 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 Psychological Approaches for Building up a Monologue-Story ; Психологічні підходи до побудови монологу-розповіді Ногачевська, Інна; Логвіна, Оксана In: Collection of Research Papers "Problems of Modern Psychology"; No. 52 (2021): Collection of Research Papers "Problems of Modern Psychology"; 204-224 ; Збірник наукових праць "Проблеми сучасної психології"; № 52 (2021): Збірник наукових праць "Проблеми сучасної психології"; 204-224 ; 2663-6956 ; 2227-6246 ; 10.32626/2227-6246.2021-52 (2021) BASE Show details 10 Phonemic transcription of low-resource languages: To what extent can preprocessing be automated? Wisniewski, Guillaume; Michaud, Alexis; Guillaume, Séverine In: 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop ; https://halshs.archives-ouvertes.fr/hal-02513914 ; 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop, 2020, Marseille, France. pp.306-315 ; https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/SLTUCCURLbook.pdf (2020) BASE Show details 11 Natural language understanding in argumentative dialogue systems ... Shigehalli, Pavan Rajashekhar. - : Universität Ulm, 2020 BASE Show details 12 SLURP: A Spoken Language Understanding Resource Package ... Bastianelli, Emanuele; Vanzo, Andrea; Swietojanski, Pawel. - : Zenodo, 2020 BASE Show details 13 SLURP: A Spoken Language Understanding Resource Package ... Bastianelli, Emanuele; Vanzo, Andrea; Swietojanski, Pawel. - : Zenodo, 2020 BASE Show details 14 Формирование умений аудирования на уровне магистратуры в МАРХИ ... : Formation of listening skills at the level of magistracy in MARHI ... Смирнов Максим Владимирович. - : Наука, образование и экспериментальное проектирование, 2020 BASE Show details 15 Phonemic transcription of low-resource languages: To what extent can preprocessing be automated? Wisniewski, Guillaume; Michaud, Alexis; Guillaume, Séverine In: 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop ; https://halshs.archives-ouvertes.fr/hal-02513914 ; 1st Joint SLTU (Spoken Language Technologies for Under-resourced languages) and CCURL (Collaboration and Computing for Under-Resourced Languages) Workshop, 2020, Marseille, France. pp.306-315 ; https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/SLTUCCURLbook.pdf (2020) BASE Show details 16 Advances in deep learning methods for speech recognition and understanding Serdyuk, Dmitriy. - 2020 BASE Show details 17 Communication-based Evaluation for Natural Language Generation Newman, Benjamin; Cohn-Gordon, Reuben; Potts, Christopher In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 18 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 19 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 20 Intelligibility and Listening Effort of Spanish Oesophageal Speech Sneha Raman; Luis Serrano; Axel Winneke; Eva Navas; Inma Hernaez In: Applied Sciences ; Volume 9 ; Issue 16 (2019) Abstract: Communication is a huge challenge for oesophageal speakers, be it for interactions with fellow humans or with digital voice assistants. We aim to quantify these communication challenges (both human&ndash ; human and human&ndash ; machine interactions) by measuring intelligibility and Listening Effort (LE) of Oesophageal Speech (OS) in comparison to Healthy Laryngeal Speech (HS). We conducted two listening tests (one web-based, the other in laboratory settings) to collect these measurements. Participants performed a sentence recognition and LE rating task in each test. Intelligibility, calculated as Word Error Rate, showed significant correlation with self-reported LE ratings. Speaker type (healthy or oesophageal) had a major effect on intelligibility and effort. More LE was reported for OS compared to HS even when OS intelligibility was close to HS. Listeners familiar with OS reported less effort when listening to OS compared to nonfamiliar listeners. However, such advantage of familiarity was not observed for intelligibility. Automatic speech recognition scores were higher for OS compared to HS. Keyword: listening effort; pathological speech and language; Spanish speech; speech and voice disorders; speech intelligibility; speech perception; spoken language understanding URL: https://doi.org/10.3390/app9163233 BASE Hide details Page: 1 2 3 4 5...7

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