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hal-01588876v1  Conference papers
Emmanuel Vincent. When mismatched training data outperform matched data
Systematic approaches to deep learning methods for audio, Sep 2017, Vienna, Austria
hal-01744021v1  Conference papers
Jon BarkerShinji WatanabeEmmanuel VincentJan Trmal. The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines
Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India
hal-02377051v1  Conference papers
Emmanuel Vincent. COMPRISE
META-FORUM 2019 - Cost-effective, Multilingual, Privacy-driven voice-enabled Services, Oct 2019, Bruxelles, Belgium
hal-02067935v1  Journal articles
Annamaria MesarosAleksandr DimentBenjamin ElizaldeToni HeittolaEmmanuel Vincent et al.  Sound event detection in the DCASE 2017 Challenge
IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2019, 27 (6), pp.992-1006. ⟨10.1109/TASLP.2019.2907016⟩
hal-01414179v2  Journal articles
Sharon GannotEmmanuel VincentShmulik Markovich-GolanAlexey Ozerov. A consolidated perspective on multi-microphone speech enhancement and source separation
IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2017, 25 (4), pp.692-730. ⟨10.1109/TASLP.2016.2647702⟩
hal-02090623v1  Conference papers
Emmanuel Vincent. Parole & deep learning : succès et grands défis
Journée IA, Langage et Citoyens, Mar 2019, Nancy, France
hal-02188342v1  Journal articles
van Quan NguyenFrancis ColasEmmanuel VincentFrançois Charpillet. Motion planning for robot audition
Autonomous Robots, Springer Verlag, 2019, 43 (8), pp.2293-2317. ⟨10.1007/s10514-019-09880-1⟩
hal-00801162v1  Conference papers
Dung TranEmmanuel VincentDenis JouvetKamil Adiloglu. Using full-rank spatial covariance models for noise-robust ASR
CHiME - 2nd International Workshop on Machine Listening in Multisource Environments - 2013, Jun 2013, Vancouver, Canada. pp.31-32
hal-01063805v1  Reports
Jonathan Le RouxEmmanuel Vincent. A categorization of robust speech processing datasets
[Technical Report] Mitsubishi Electric Research Labs TR2014-116, 2014
hal-01881426v1  Book sections
Tuomas VirtanenEmmanuel VincentSharon Gannot. Time-frequency processing - Spectral properties
Emmanuel Vincent; Tuomas Virtanen; Sharon Gannot. Audio source separation and speech enhancement, Wiley, 2018, 978-1-119-27989-1
hal-00985979v1  Conference papers
Joachim ThiemannEmmanuel VincentSteven van de Par. Spatial properties of the DEMAND noise recordings
40th Annual German Congress on Acoustics (DAGA 2014), Mar 2014, Oldenburg, Germany
hal-01383263v1  Book sections
Jon BarkerRicard MarxerEmmanuel VincentShinji Watanabe. The CHiME challenges: Robust speech recognition in everyday environments
New era for robust speech recognition - Exploiting deep learning, Springer, pp.327-344, 2017
hal-01354007v2  Conference papers
Benjamin ElizaldeAnurag KumarAnkit ShahRohan BadlaniEmmanuel Vincent et al.  Experiments on the DCASE Challenge 2016: Acoustic scene classification and sound event detection in real life recording
DCASE2016 Workshop on Detection and Classification of Acoustic Scenes and Events, Sep 2016, Budapest, Hungary