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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 Hits 1 – 20 of 47 1 First DIHARD Challenge -- System Submissions and Scores ... Ryant, Neville; Church, Kenneth; Cieri, Christopher. - : Zenodo, 2021 BASE Show details 2 First DIHARD Challenge -- System Submissions and Scores ... Ryant, Neville; Church, Kenneth; Cieri, Christopher. - : Zenodo, 2021 BASE Show details 3 Adaptations in Speech Processing Xu, Jue. - : Humboldt-Universität zu Berlin, 2021 BASE Show details 4 Learning speech embeddings for speaker adaptation and speech understanding Sari, Leda. - 2021 BASE Show details 5 Towards unsupervised learning of speech features in the wild Rivière, Morgane; Dupoux, Emmanuel In: SLT 2020 : IEEE Spoken Language Technology Workshop ; https://hal.archives-ouvertes.fr/hal-03070411 ; SLT 2020 : IEEE Spoken Language Technology Workshop, Dec 2020, Shenzhen / Virtual, China (2020) Abstract: International audience ; Recent work on unsupervised contrastive learning of speech representation has shown promising results, but so far has mostly been applied to clean, curated speech datasets. Can it also be used with unprepared audio data "in the wild"? Here, we explore three potential problems in this setting: (i) presence of non-speech data, (ii) noisy or low quality speech data, and (iii) imbalance in speaker distribution. We show that on the Libri-light train set, which is itself a relatively clean speech-only dataset, these problems combined can already have a performance cost of up to 30% relative for the ABX score. We show that the first two problems can be alleviated by data filtering, with voice activity detection selecting speech segments, while perplexity of a model trained with clean data helping to discard entire files. We show that the third problem can be alleviated by learning a speaker embedding in the predictive branch of the model. We show that these techniques build more robust speech features that can be transferred to an ASR task in the low resource setting. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO]Computer Science [cs]; Contrastive predictive coding; Data filtering; Speaker adaptation; Speech recognition; Unsupervised representation learning URL: https://hal.archives-ouvertes.fr/hal-03070411 https://hal.archives-ouvertes.fr/hal-03070411/document https://hal.archives-ouvertes.fr/hal-03070411/file/Riviere_D_2020_Towards_CPC_in_the_wild.SLT.pdf BASE Hide details 6 Achieving Multi-Accent ASR via Unsupervised Acoustic Model Adaptation Turan, Mehmet Ali Tuğtekin; Vincent, Emmanuel; Jouvet, Denis In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-02907929 ; INTERSPEECH 2020, Oct 2020, Shanghai, China (2020) BASE Show details 7 Preschoolers' Attention to Emotional Prosody as a Function of Speaker Conventionality ... Wieczorek, Karolina Marta. - : Arts, 2020 BASE Show details 8 Learning to adapt: meta-learning approaches for speaker adaptation Klejch, Ondrej. - : The University of Edinburgh, 2020 BASE Show details 9 Introducing Phonetic Information to Speaker Embedding for Speaker Verification Liu, Yi; He, Liang; Johnson, Michael T. In: Electrical and Computer Engineering Faculty Publications (2019) BASE Show details 10 Speaker-Adapted Confidence Measures for ASR using Deep Bidirectional Recurrent Neural Networks Del Agua Teba, Miguel Angel; Giménez Pastor, Adrián; Sanchis Navarro, José Alberto. - : Institute of Electrical and Electronics Engineers, 2018 BASE Show details 11 Extending the Cascaded Gaussian Mixture Regression Framework for Cross-Speaker Acoustic-Articulatory Mapping Girin, Laurent; Hueber, Thomas; Alameda-Pineda, Xavier In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.archives-ouvertes.fr/hal-01485540 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2017, 25 (3), pp.662-673. ⟨10.1109/TASLP.2017.2651398⟩ (2017) BASE Show details 12 Articulatory representations to address acoustic variability in speech ... Sivaraman, Ganesh. - : Digital Repository at the University of Maryland, 2017 BASE Show details 13 Articulatory representations to address acoustic variability in speech Sivaraman, Ganesh. - 2017 BASE Show details 14 Adaptation au locuteur pour la séparation de la parole par NMF Doras, Guillaume In: https://hal.sorbonne-universite.fr/hal-01482183 ; [Stage] STMS - Sciences et Technologies de la Musique et du Son UMR 9912 IRCAM-CNRS-UPMC. 2016 (2016) BASE Show details 15 Iterative PLDA Adaptation for Speaker Diarization Le Lan, Gaël; Charlet, Delphine; Larcher, Anthony... In: Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-01433172 ; Interspeech 2016, Sep 2016, San Francisco, United States. pp.2175 - 2179, ⟨10.21437/Interspeech.2016-572⟩ (2016) BASE Show details 16 Speaker-dependent Multipitch Tracking Using Deep Neural Networks Liu,Yuzhou; Wang,DeLiang. - 2015 BASE Show details 17 Phonetic reduction in spontaneous speech by children aged 9-14 years Tuomainen, O; Lee, C; Granlund, S... In: Presented at: 18th International Congress of Phonetic Sciences, Glasgow, UK. (2015) (2015) BASE Show details 18 The Acquisition of Vowel Normalization during Early Infancy: Theory and Computational Framework Plummer, Andrew R In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388689249 (2014) BASE Show details 19 'All the better for not seeing you': effects of communicative context on the speech of an individual with acquired communication difficulties. Bruce, C; Braidwood, U; Newton, C In: J Commun Disord , 46 (5-6) 475 - 483. (2013) (2013) BASE Show details 20 Contributions to Adaptation on Automatic Speech Recognition and Multilingual Handwritten Text Recognition Del Agua Teba, Miguel Angel. - : Universitat Politècnica de València, 2013 BASE Show details Page: 1 2 3

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