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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 Hits 1 – 11 of 11 1 MAGIC DUST FOR CROSS-LINGUAL ADAPTATION OF MONOLINGUAL WAV2VEC-2.0 Khurana, Sameer; Laurent, Antoine; Glass, James In: ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03544515 ; ICASSP 2022, May 2022, Singapour, Singapore (2022) BASE Show details 2 Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0 ... Khurana, Sameer; Laurent, Antoine; Glass, James. - : arXiv, 2021 BASE Show details 3 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Khurana, Sameer; Laurent, Antoine; Hsu, Wei-Ning; Chorowski, Jan; Łańcucki, Adrian; Marxer, Ricard; Glass, James In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-02912029 ; Interspeech 2020, Oct 2020, Shanghai, China (2020) Abstract: International audience ; Probabilistic Latent Variable Models (LVMs) provide an alternative to self-supervised learning approaches for linguistic representation learning from speech. LVMs admit an intuitive probabilistic interpretation where the latent structure shapes the information extracted from the signal. Even though LVMs have recently seen a renewed interest due to the introduction of Vari-ational Autoencoders (VAEs), their use for speech representation learning remains largely unexplored. In this work, we propose Convolutional Deep Markov Model (ConvDMM), a Gaus-sian state-space model with non-linear emission and transition functions modelled by deep neural networks. This unsupervised model is trained using black box variational inference. A deep convolutional neural network is used as an inference network for structured variational approximation. When trained on a large scale speech dataset (LibriSpeech), ConvDMM produces features that significantly outperform multiple self-supervised feature extracting methods on linear phone classification and recognition on the Wall Street Journal dataset. Furthermore, we found that ConvDMM complements self-supervised methods like Wav2Vec and PASE, improving on the results achieved with any of the methods alone. Lastly, we find that ConvDMM features enable learning better phone recognizers than any other features in an extreme low-resource regime with few labelled training examples. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; Neural Variational Latent Variable Model; Structured Variational Inference; Unsupervised Speech Representation Learning URL: https://hal.archives-ouvertes.fr/hal-02912029/file/convDMM_arxiv.pdf https://hal.archives-ouvertes.fr/hal-02912029/document https://hal.archives-ouvertes.fr/hal-02912029 BASE Hide details 4 CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning ... Khurana, Sameer; Laurent, Antoine; Glass, James. - : arXiv, 2020 BASE Show details 5 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning ... Khurana, Sameer; Laurent, Antoine; Hsu, Wei-Ning. - : arXiv, 2020 BASE Show details 6 DARTS: Dialectal Arabic Transcription System ... Khurana, Sameer; Ali, Ahmed; Glass, James. - : arXiv, 2019 BASE Show details 7 The Summa Platform Prototype ... Liepins, Renars; Germann, Ulrich; Barzdins, Guntis. - : Zenodo, 2017 BASE Show details 8 The Summa Platform Prototype ... Liepins, Renars; Germann, Ulrich; Barzdins, Guntis. - : Zenodo, 2017 BASE Show details 9 The SUMMA Platform Prototype Riedel, Sebastian; Garner, Phil; Narayan, Shashi... In: http://infoscience.epfl.ch/record/233575 (2017) BASE Show details 10 Multi-view Dimensionality Reduction for Dialect Identification of Arabic Broadcast Speech ... Khurana, Sameer; Ali, Ahmed; Renals, Steve. - : arXiv, 2016 BASE Show details 11 Automatic Dialect Detection in Arabic Broadcast Speech ... Ali, Ahmed; Dehak, Najim; Cardinal, Patrick. - : arXiv, 2015 BASE Show details

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