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Learning and controlling the source-filter representation of speech with a variational autoencoder
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In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022)
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Learning and controlling the source-filter representation of speech with a variational autoencoder ...
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Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ...
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High-resolution speaker counting in reverberant rooms using CRNN with Ambisonics features
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In: EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO) ; https://hal.archives-ouvertes.fr/hal-03537323 ; EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands. pp.71-75, ⟨10.23919/Eusipco47968.2020.9287637⟩ (2021)
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Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input
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In: Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03372802 ; Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. pp.3865-3869, ⟨10.21437/Interspeech.2021-275⟩ (2021)
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Learning robust speech representation with an articulatory-regularized variational autoencoder
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In: Proccedings of Interspeech 2021 ; Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03373252 ; Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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Learning robust speech representation with an articulatory-regularized variational autoencoder ...
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Towards an articulatory-driven neural vocoder for speech synthesis
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In: ISSP 2020 - 12th International Seminar on Speech Production ; https://hal.archives-ouvertes.fr/hal-03184762 ; ISSP 2020 - 12th International Seminar on Speech Production, Dec 2020, Providence (virtual), United States (2020)
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Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning
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In: ISSN: 0899-7667 ; EISSN: 1530-888X ; Neural Computation ; https://hal.archives-ouvertes.fr/hal-03016083 ; Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2020, 32 (3), pp.596-625. ⟨10.1162/neco_a_01264⟩ (2020)
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Deeppredspeech: Computational Models Of Predictive Speech Coding Based On Deep Learning ...
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DeepPredSpeech: computational models of predictive speech coding based on deep learning ...
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DeepPredSpeech: computational models of predictive speech coding based on deep learning ...
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Extending the Cascaded Gaussian Mixture Regression Framework for Cross-Speaker Acoustic-Articulatory Mapping
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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)
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Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-01578315 ; Speech Communication, Elsevier : North-Holland, 2017, 93, pp.63 - 75. ⟨10.1016/j.specom.2017.08.002⟩ (2017)
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Voice Activity Detection Based on Statistical Likelihood Ratio With Adaptive Thresholding
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In: IWAENC 2016 - International Workshop on Acoustic Signal Enhancement (IWAENC) ; https://hal.inria.fr/hal-01349776 ; IWAENC 2016 - International Workshop on Acoustic Signal Enhancement (IWAENC), Sep 2016, Xi'an, China. pp.1-5, ⟨10.1109/IWAENC.2016.7602911⟩ (2016)
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Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces
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In: ISSN: 1553-734X ; EISSN: 1553-7358 ; PLoS Computational Biology ; https://hal.archives-ouvertes.fr/hal-01459706 ; PLoS Computational Biology, Public Library of Science, 2016, 12 (11), pp.e1005119. ⟨10.1371/journal.pcbi.1005119⟩ (2016)
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Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces
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