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Speaker Attentive Speech Emotion Recognition
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In: Proccedings of interspeech 2021 ; Interspeech 2021 ; https://hal.archives-ouvertes.fr/hal-03554368 ; Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.2866-2870, ⟨10.21437/interspeech.2021-573⟩ (2021)
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Sequence-To-Sequence Voice Conversion using F0 and Time Conditioning and Adversarial Learning
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In: https://hal.archives-ouvertes.fr/hal-03569597 ; 2021 (2021)
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Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations
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In: https://hal.archives-ouvertes.fr/hal-03569608 ; 2021 (2021)
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Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations ...
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Sequence-To-Sequence Voice Conversion using F0 and Time Conditioning and Adversarial Learning ...
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Att-HACK: An Expressive Speech Database with Social Attitudes
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In: Speech Prosody ; https://hal.archives-ouvertes.fr/hal-02508362 ; Speech Prosody, May 2020, Tokyo, Japan (2020)
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SEQUENCE-TO-SEQUENCE MODELLING OF F0 FOR SPEECH EMOTION CONVERSION
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In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.sorbonne-universite.fr/hal-02018439 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom (2019)
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« The annotation of syllabic prominences and disfluencies »
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In: Rhapsodie: A prosodic and syntactic treebank for spoken French. Amsterdam: Benjamins, ; https://hal.archives-ouvertes.fr/hal-03324669 ; in Lacheret, A., Kahane, S. & Pietrandrea, P. (eds). Rhapsodie: A prosodic and syntactic treebank for spoken French. Amsterdam: Benjamins,, pp.157-173, 2019 (2019)
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AUTOMATIC MODELLING AND LABELLING OF SPEECH PROSODY: WHAT'S NEW WITH SLAM+ ?
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In: International Congress of Phonetic Sciences (ICPhS) ; https://hal.sorbonne-universite.fr/hal-02119926 ; International Congress of Phonetic Sciences (ICPhS), Aug 2019, Melbourne, Australia (2019)
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At the Interface of Speech and Music: A Study of Prosody and Musical Prosody in Rap Music
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In: Speech Prosody ; https://hal.sorbonne-universite.fr/hal-01722009 ; Speech Prosody, Jun 2018, Poznan, Poland (2018)
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Score-Informed Syllable Segmentation for Jingju a Cappella Singing Voice with Mel-Frequency Intensity Profiles
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In: International Workshop on Folk Music Analysis ; https://hal.sorbonne-universite.fr/hal-01513160 ; International Workshop on Folk Music Analysis, Jun 2017, Malaga, Spain (2017)
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Score-Informed Syllable Segmentation For Jingju A Cappella Singing Voice With Mel-Frequency Intensity Profiles ...
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Score-Informed Syllable Segmentation For Jingju A Cappella Singing Voice With Mel-Frequency Intensity Profiles ...
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Score-Informed Syllable Segmentation For Jingju A Cappella Singing Voice With Mel-Frequency Intensity Profiles ...
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Vers une modélisation continue de la structure prosodique: le cas des proéminences syllabiques
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A Source/Filter Model with Adaptive Constraints for NMF-based Speech Separation
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In: International Conference on Acoustics, Speech, and Signal Processing ; https://hal.sorbonne-universite.fr/hal-01294681 ; International Conference on Acoustics, Speech, and Signal Processing, Mar 2016, Shanghai, China (2016)
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Similarity Search of Acted Voices for Automatic Voice Casting
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In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.sorbonne-universite.fr/hal-01464715 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2016, 24 (9), pp.1642 - 1651. ⟨10.1109/TASLP.2016.2580302⟩ (2016)
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Abstract:
International audience ; This paper presents a large-scale similarity search of professionally acted voices for computer-aided voice casting. The proposed voice casting system explores Gaussian mixture model-based acoustic models and multilabel recognition of perceived paralinguistic content (speaker states and speaker traits, e.g., age/gender, voice quality, emotion) for the voice casting of professionally acted voices. First, acoustic models (universal background model, super-vector, i-vector) are constructed to model the acoustic space of voices, from which the similarity between voices can be measured directly in the acoustic space. Second, multiple binary classification of speaker traits and states is added to the acoustic models in order to represent the vocal signature of a voice, which is then used to measure the similarity between voices in the paralinguistic space. Finally, a similarity search is processed in order to determine the set of target actors that are the most similar to the voice of a source actor. In a subjective experiment conducted in the real-context of cross-language voice casting, the multilabel scoring system significantly outperforms the acoustic scoring system. This constitutes a proof of concept for the role of perceived para-linguistic categories in the perception of voice similarity.
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Keyword:
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; Multi-label classification; para-linguistics; speaker recognition; speaker traits and states; voice casting; voice similarity
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URL: https://doi.org/10.1109/TASLP.2016.2580302 https://hal.sorbonne-universite.fr/hal-01464715 https://hal.sorbonne-universite.fr/hal-01464715/file/taslp-obin-2580302-proof.pdf https://hal.sorbonne-universite.fr/hal-01464715/document
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Symbolic Modeling of Prosody: From Linguistics to Statistics
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In: ISSN: 1558-7916 ; IEEE Transactions on Audio, Speech and Language Processing ; https://hal.archives-ouvertes.fr/hal-01164602 ; IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2015, 23 (3), pp.588 - 599. ⟨10.1109/TASLP.2014.2387389⟩ (2015)
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Exploiting Alternatives for Text-To-Speech Synthesis: From Machine to Human
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In: Speech Prosody in Speech Synthesis: Modeling and Generation of Prosody for High Quality and Flexible Speech Synthesis ; https://hal.archives-ouvertes.fr/hal-01164642 ; Springer Berlin Heidelberg. Speech Prosody in Speech Synthesis: Modeling and Generation of Prosody for High Quality and Flexible Speech Synthesis, pp.189-202, 2015, Prosody, Phonology and Phonetics, 978-3-662-45258-5. ⟨10.1007/978-3-662-45258-5_13⟩ (2015)
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The Role of Glottal Source Parameters for High-Quality Transformation of Perceptual Age
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In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-01164562 ; International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Apr 2015, Brisbane, Australia (2015)
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