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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 – 16 of 16 1 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 2 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 3 Generative Spoken Language Modeling from Raw Audio ... Lakhotia, Kushal; Kharitonov, Evgeny; Hsu, Wei-Ning. - : arXiv, 2021 BASE Show details 4 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 5 Textless Speech Emotion Conversion using Discrete and Decomposed Representations ... Kreuk, Felix; Polyak, Adam; Copet, Jade; Kharitonov, Eugene; Nguyen, Tu-Anh; Rivière, Morgane; Hsu, Wei-Ning; Mohamed, Abdelrahman; Dupoux, Emmanuel; Adi, Yossi. - : arXiv, 2021 Abstract: Speech emotion conversion is the task of modifying the perceived emotion of a speech utterance while preserving the lexical content and speaker identity. In this study, we cast the problem of emotion conversion as a spoken language translation task. We use a decomposition of the speech signal into discrete learned representations, consisting of phonetic-content units, prosodic features, speaker, and emotion. First, we modify the speech content by translating the phonetic-content units to a target emotion, and then predict the prosodic features based on these units. Finally, the speech waveform is generated by feeding the predicted representations into a neural vocoder. Such a paradigm allows us to go beyond spectral and parametric changes of the signal, and model non-verbal vocalizations, such as laughter insertion, yawning removal, etc. We demonstrate objectively and subjectively that the proposed method is vastly superior to current approaches and even beats text-based systems in terms of perceived emotion ... Keyword: Artificial Intelligence cs.AI; Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD URL: https://arxiv.org/abs/2111.07402 https://dx.doi.org/10.48550/arxiv.2111.07402 BASE Hide details 6 Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation ... Kreuk, Felix; Keshet, Joseph; Adi, Yossi. - : arXiv, 2020 BASE Show details 7 Phoneme Boundary Detection using Learnable Segmental Features ... Kreuk, Felix; Sheena, Yaniv; Keshet, Joseph. - : arXiv, 2020 BASE Show details 8 The influence of lexical selection disruptions on articulation Goldrick, Matthew; McClain, Rhonda; Cibelli, Emily... In: J Exp Psychol Learn Mem Cogn (2018) BASE Show details 9 Automatic Measurement of Pre-aspiration ... Sheena, Yaniv; Hejná, Míša; Adi, Yossi. - : arXiv, 2017 BASE Show details 10 Learning Similarity Functions for Pronunciation Variations ... Naaman, Einat; Adi, Yossi; Keshet, Joseph. - : arXiv, 2017 BASE Show details 11 SEQUENCE SEGMENTATION USING JOINT RNN AND STRUCTURED PREDICTION MODELS Adi, Yossi; Keshet, Joseph; Cibelli, Emily. - 2017 BASE Show details 12 Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks ... Adi, Yossi; Kermany, Einat; Belinkov, Yonatan. - : arXiv, 2016 BASE Show details 13 Sequence Segmentation Using Joint RNN and Structured Prediction Models ... Adi, Yossi; Keshet, Joseph; Cibelli, Emily. - : arXiv, 2016 BASE Show details 14 Automatic measurement of vowel duration via structured prediction ... Adi, Yossi; Keshet, Joseph; Cibelli, Emily. - : arXiv, 2016 BASE Show details 15 Automatic measurement of vowel duration via structured prediction Adi, Yossi; Keshet, Joseph; Cibelli, Emily. - : Acoustical Society of America, 2016 BASE Show details 16 VOWEL DURATION MEASUREMENT USING DEEP NEURAL NETWORKS Adi, Yossi; Keshet, Joseph; Goldrick, Matthew. - 2015 BASE Show details

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