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1
Learning emotions latent representation with CVAE for Text-Driven Expressive AudioVisual Speech Synthesis
In: ISSN: 0893-6080 ; Neural Networks ; https://hal.inria.fr/hal-03204193 ; Neural Networks, Elsevier, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩ (2021)
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2
Dynamic Lip Animation from a Limited number of Control Points: Towards an Effective Audiovisual Spoken Communication
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.inria.fr/hal-01631397 ; Speech Communication, Elsevier : North-Holland, 2018, 96, pp.49-57. ⟨10.1016/j.specom.2017.11.006⟩ (2018)
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3
A Machine Learning Based Approach for Vocabulary Selection for Speech Transcription
In: TSD - 16th International Conference on Text, Speech and Dialogue - 2013 ; https://hal.inria.fr/hal-00834302 ; TSD - 16th International Conference on Text, Speech and Dialogue - 2013, Sep 2013, Pilsen, Czech Republic. pp.60-67 ; http://link.springer.com/chapter/10.1007%2F978-3-642-40585-3_9 (2013)
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4
Acoustic-to-articulatory inversion by analysis-by-synthesis using cepstral coefficients
In: ICA - 21st International Congress on Acoustics - 2013 ; https://hal.inria.fr/hal-00836808 ; ICA - 21st International Congress on Acoustics - 2013, Jun 2013, Montréal, Canada (2013)
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5
Analysis and Combination of Forward and Backward based Decoders for Improved Speech Transcription
In: TSD - 16th International Conference on Text, Speech and Dialogue - 2013 ; https://hal.inria.fr/hal-00834296 ; TSD - 16th International Conference on Text, Speech and Dialogue - 2013, Sep 2013, Pilsen, Czech Republic. pp.84-91 ; http://link.springer.com/chapter/10.1007%2F978-3-642-40585-3_12 (2013)
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6
Comparison and Analysis of Several Phonetic Decoding Approaches
In: TSD - 16th International Conference on Text, Speech and Dialogue - 2013 ; https://hal.inria.fr/hal-00834313 ; TSD - 16th International Conference on Text, Speech and Dialogue - 2013, Sep 2013, Pilsen, Czech Republic. pp.161-168 ; http://link.springer.com/chapter/10.1007%2F978-3-642-40585-3_21 (2013)
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7
Multimodal Speech: from articulatory speech to audiovisual speech ; Parole Multimodale : de la parole articulatoire à la parole audiovisuelle
Ouni, Slim. - : HAL CCSD, 2013
In: https://tel.archives-ouvertes.fr/tel-00927119 ; Machine Learning [cs.LG]. Université de Lorraine, 2013 (2013)
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8
Evaluating grapheme-to-phoneme converters in automatic speech recognition context
In: ICASSP - 2012 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.inria.fr/hal-00753364 ; ICASSP - 2012 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2012, Kyoto, Japan. pp.4821 - 4824, ⟨10.1109/ICASSP.2012.6288998⟩ (2012)
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9
VisArtico: a visualization tool for articulatory data
In: 13th Annual Conference of the International Speech Communication Association - InterSpeech 2012 ; https://hal.inria.fr/hal-00730733 ; 13th Annual Conference of the International Speech Communication Association - InterSpeech 2012, Sep 2012, Portland, OR, United States (2012)
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10
Combining criteria for the detection of incorrect entries of non-native speech in the context of foreign language learning
In: SLT 2012 - 4th IEEE Workshop on Spoken Language Technology ; https://hal.inria.fr/hal-00753458 ; SLT 2012 - 4th IEEE Workshop on Spoken Language Technology, Dec 2012, Miami, United States (2012)
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