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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 74 1 Semi-supervised cycle-consistency training for end-to-end ASR using unpaired speech Wu, Ningkai. - 2022 BASE Show details 2 Improving multilingual speech recognition systems Gao, Heting. - 2021 BASE Show details 3 Enforcing constraints for multi-lingual and cross-lingual speech-to-text systems Ni, Junrui. - 2021 BASE Show details 4 Knowledge base integration in biomedical natural language processing applications Sakakini, Tarek. - 2021 BASE Show details 5 Learning speech embeddings for speaker adaptation and speech understanding Sari, Leda. - 2021 BASE Show details 6 Modeling phones, keywords, topics and intents in spoken languages Chen, Wenda. - 2021 BASE Show details 7 Speech technology for unwritten languages Scharenborg, Odette; Besacier, Laurent; Black, Alan... In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-02480675 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2020, ⟨10.1109/TASLP.2020.2973896⟩ (2020) BASE Show details 8 How Phonotactics Affect Multilingual and Zero-shot ASR Performance ... Feng, Siyuan; Żelasko, Piotr; Moro-Velázquez, Laureano. - : arXiv, 2020 BASE Show details 9 That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages ... Żelasko, Piotr; Moro-Velázquez, Laureano; Hasegawa-Johnson, Mark. - : arXiv, 2020 BASE Show details 10 Autosegmental Neural Nets: Should Phones and Tones be Synchronous or Asynchronous? ... Li, Jialu; Hasegawa-Johnson, Mark. - : arXiv, 2020 BASE Show details 11 Identify Speakers in Cocktail Parties with End-to-End Attention ... Zhu, Junzhe; Hasegawa-Johnson, Mark; Sari, Leda. - : arXiv, 2020 BASE Show details 12 Acoustic event, spoken keyword and emotional outburst detection Xu, Yijia. - 2019 Abstract: This thesis presents work in research topics of audio detection. It first describes a system for large-scale multi-label acoustic event detection (AED) in YouTube videos. It explores the potential of the state-of-the-art deep learning classifiers for AED, describes both qualitative and quantitative results (Hit@1 is 47.9%) and presents the pre-trained embedding model as a powerful feature extractor to be adapted to new domains with limited data and improve the detection accuracy (Hit@1 is 58.1%). Second, the thesis focuses on the speech acoustic events and the spoken keyword spotting task for speech. It presents a phonetic keyword spotter as a lightweight alternative to full speech recognition (3x faster, with comparable detection rates and that addresses automatic speech recognition problems). It also explores cross-lingual keyword spotting to support low resource languages and finds that the acoustic model is dominant in determining the cross-lingual keyword search performance. Third, the thesis further presents the emotional outburst detection for infant nonspeech acoustic events. It reports on the efforts to manually code child utterances as being of type “laugh,” “cry,” “fuss,” “babble,” and “hiccup” and to develop the algorithms capable of performing the same task automatically. Keyword: audio event detection; convolutional neural network; emotion detection; hidden Markov model; phonetic keywork spotter; speech recognition; spoken keyword detection URL: http://hdl.handle.net/2142/105158 BASE Hide details 13 Automatic speech recognition for low-resource languages and dialects Hoffer-Sohn, Yda. - 2019 BASE Show details 14 A sensorimotor basis of speech communication Bryan, Jacob. - 2019 BASE Show details 15 The benefits of acoustic perceptual information for speech processing systems He, Di. - 2019 BASE Show details 16 Dealing with linguistic mismatches for automatic speech recognition Yang, Xuesong. - 2019 BASE Show details 17 Modeling DNN as human learner Ni, Junrui. - 2019 BASE Show details 18 Bayesian models for unit discovery on a very low resource language Ondel, Lucas; Godard, Pierre; Besacier, Laurent... In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-01709589 ; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Alberta, Canada (2018) BASE Show details 19 Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop Scharenborg, Odette; Besacier, Laurent; Black, Alan... In: ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01709578 ; ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada (2018) BASE Show details 20 Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ... Scharenborg, Odette; Besacier, Laurent; Black, Alan. - : arXiv, 2018 BASE Show details Page: 1 2 3 4

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