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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 Hits 1 – 20 of 21 1 Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training ... Sanabria, Ramon; Hsu, Wei-Ning; Baevski, Alexei. - : arXiv, 2022 BASE Show details 2 Simple and Effective Unsupervised Speech Synthesis ... Liu, Alexander H.; Lai, Cheng-I Jeff; Hsu, Wei-Ning. - : arXiv, 2022 BASE Show details 3 Speech Resynthesis from Discrete Disentangled Self-Supervised Representations Polyak, Adam; Adi, Yossi; Copet, Jade... In: INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-03329245 ; INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021) BASE Show details 4 On Generative Spoken Language Modeling from Raw Audio Lakhotia, Kushal; Kharitonov, Evgeny; Hsu, Wei-Ning... In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03329219 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021 (2021) BASE Show details 5 Generative Spoken Language Modeling from Raw Audio ... Lakhotia, Kushal; Kharitonov, Evgeny; Hsu, Wei-Ning. - : arXiv, 2021 BASE Show details 6 Text-Free Image-to-Speech Synthesis Using Learned Segmental Units ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Glass, James; Harwath, David; Hsu, Wei-Ning; Miller, Tyler; Song, Christopher. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.411 Abstract: In this paper we present the first model for directly synthesizing fluent, natural-sounding spoken audio captions for images that does not require natural language text as an intermediate representation or source of supervision. Instead, we connect the image captioning module and the speech synthesis module with a set of discrete, sub-word speech units that are discovered with a self-supervised visual grounding task. We conduct experiments on the Flickr8k spoken caption dataset in addition to a novel corpus of spoken audio captions collected for the popular MSCOCO dataset, demonstrating that our generated captions also capture diverse visual semantics of the images they describe. We investigate several different intermediate speech representations, and empirically find that the representation must satisfy several important properties to serve as drop-in replacements for text. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25832-text-free-image-to-speech-synthesis-using-learned-segmental-units https://dx.doi.org/10.48448/r06d-y818 BASE Hide details 7 Generative Spoken Language Modeling from Raw Audio ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Adi, Yossi; Baevski, Alexei. - : Underline Science Inc., 2021 BASE Show details 8 Textless Speech-to-Speech Translation on Real Data ... Lee, Ann; Gong, Hongyu; Duquenne, Paul-Ambroise. - : arXiv, 2021 BASE Show details 9 HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units ... Hsu, Wei-Ning; Bolte, Benjamin; Tsai, Yao-Hung Hubert. - : arXiv, 2021 BASE Show details 10 Textless Speech Emotion Conversion using Discrete and Decomposed Representations ... Kreuk, Felix; Polyak, Adam; Copet, Jade. - : arXiv, 2021 BASE Show details 11 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Khurana, Sameer; Laurent, Antoine; Hsu, Wei-Ning... In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-02912029 ; Interspeech 2020, Oct 2020, Shanghai, China (2020) BASE Show details 12 Speech processing with less supervision : learning from weak labels and multiple modalities Hsu, Wei-Ning,Ph. D.Massachusetts Institute of Technology.. - : Massachusetts Institute of Technology, 2020 BASE Show details 13 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning ... Khurana, Sameer; Laurent, Antoine; Hsu, Wei-Ning. - : arXiv, 2020 BASE Show details 14 Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech ... Harwath, David; Hsu, Wei-Ning; Glass, James. - : arXiv, 2019 BASE Show details 15 Transfer Learning from Audio-Visual Grounding to Speech Recognition ... Hsu, Wei-Ning; Harwath, David; Glass, James. - : arXiv, 2019 BASE Show details 16 Unsupervised learning of disentangled representations for speech with neural variational inference models Hsu, Wei-Ning, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2018 BASE Show details 17 Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition ... Hsu, Wei-Ning; Tang, Hao; Glass, James. - : arXiv, 2018 BASE Show details 18 Unsupervised Representation Learning of Speech for Dialect Identification ... Shon, Suwon; Hsu, Wei-Ning; Glass, James. - : arXiv, 2018 BASE Show details 19 Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data ... Hsu, Wei-Ning; Zhang, Yu; Glass, James. - : arXiv, 2017 BASE Show details 20 Learning Latent Representations for Speech Generation and Transformation ... Hsu, Wei-Ning; Zhang, Yu; Glass, James. - : arXiv, 2017 BASE Show details Page: 1 2

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