Personal information

Other IDs

Scopus Author ID: 56940796300

Countries

France

Biography

Clement S. J. Doire received the M.Sc. degree in communications and signal processing from Imperial College London, London, U.K., in 2012, the M.Eng. degree in electrical engineering from Supelec, France, in 2013, and the Ph.D. degree from the Speech and Audio Processing Group, Imperial College London, in 2016. During the Ph.D. degree, he was a Fellow of the European Union Marie Curie Initial Training Network DREAMS Project (Dereverberation and Reverberation of Audio Music and Speech). After working on audio source separation with Audionamix, as a Lead Researcher from 2018 to 2020, he joined Sonos Inc., where he is a Senior Signal Processing and Machine Learning Scientist. His current research interests include speech enhancement, audio source separation, and machine learning. He was the recipient of the Science and Communication Award for his involvement in the Royal Society's Summer Science Exhibition 2015.

Activities

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Employment (2)

Sonos Inc: Paris, FR

2020-08-03 to present | Senior Signal Processing and Machine Learning Scientist (Sonos Voice Experience)
Employment
Source: Self-asserted source
Clement Doire

Audionamix (France): Paris, FR

2018-01-10 to 2020-07-31 | Lead Researcher
Employment
Source: Self-asserted source
Clement Doire

Education and qualifications (3)

Imperial College London: London, London, GB

2013-03-08 to 2016-05-31 | PhD (Electrical and Electronic Engineering)
Education
Source: Self-asserted source
Clement Doire

Supélec: Metz, FR

2009-10-01 to 2013-02-01 | MEng
Education
Source: Self-asserted source
Clement Doire

Imperial College London: London, London, GB

2011-10-01 to 2012-10-01 | MSc (Electrical and Electronic Engineering)
Education
Source: Self-asserted source
Clement Doire

Works (11)

Unsupervised Music Source Separation Using Differentiable Parametric Source Models

IEEE/ACM Transactions on Audio, Speech, and Language Processing
2023 | Journal article
DOI: 10.1109/TASLP.2023.3252272
Contributors: Kilian Schulze-Forster; Gaël Richard; Liam Kelley; Clement S. J. Doire; Roland Badeau
Source: check_circle
Crossref

Phoneme Level Lyrics Alignment and Text-Informed Singing Voice Separation

IEEE/ACM Transactions on Audio, Speech, and Language Processing
2021 | Journal article
DOI: 10.1109/TASLP.2021.3091817
Contributors: Kilian Schulze-Forster; Clement Doire; Gael Richard; Roland Badeau
Source: check_circle
Crossref

Joint Phoneme Alignment and Text-Informed Speech Separation on Highly Corrupted Speech

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2020-05 | Conference paper
DOI: 10.1109/icassp40776.2020.9053182
ISBN: 9781509066315
Source: Self-asserted source
Clement Doire

Weakly Informed Audio Source Separation

2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
2019-10 | Conference paper
DOI: 10.1109/waspaa.2019.8937266
ISBN: 9781728111230
Source: Self-asserted source
Clement Doire

Interleaved Multitask Learning for Audio Source Separation with Independent Databases

arXiv pre-print
2019-08-14 | Preprint
ARXIV: 1908.05182
Source: Self-asserted source
Clement Doire

Online Singing Voice Separation Using a Recurrent One-dimensional U-NET Trained with Deep Feature Losses

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2019-05 | Conference paper
DOI: 10.1109/icassp.2019.8683251
ISBN: 9781479981311
Source: Self-asserted source
Clement Doire

Robust and efficient Bayesian adaptive psychometric function estimation

The Journal of the Acoustical Society of America
2017-04 | Journal article
DOI: 10.1121/1.4979580
Part of ISSN: 0001-4966
Source: Self-asserted source
Clement Doire

Single-Channel Online Enhancement of Speech Corrupted by Reverberation and Noise

IEEE/ACM Transactions on Audio, Speech, and Language Processing
2017-03 | Journal article
DOI: 10.1109/taslp.2016.2641904
Part of ISSN: 2329-9290
Part of ISSN: 2329-9304
Source: Self-asserted source
Clement Doire

Acoustic Environment Control: Implementation of a Reverberation Enhancement System

Audio Engineering Society Conference: 60th International Conference: DREAMS (Dereverberation and Reverberation of Audio, Music, and Speech)
2016-01-27 | Conference paper
Source: Self-asserted source
Clement Doire

Data-driven statistical modelling of room impulse responses in the power domain

2015 23rd European Signal Processing Conference, EUSIPCO 2015
2015 | Conference paper
DOI: 10.1109/EUSIPCO.2015.7362828
EID:

2-s2.0-84963961454
Contributors: Doire, C.S.J.; Brookes, M.; Naylor, P.A.; Jensen, S.H.
Source: Self-asserted source
Clement Doire via Scopus - Elsevier

Single-channel blind estimation of reverberation parameters

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2015 | Conference paper
DOI: 10.1109/ICASSP.2015.7177926
EID:

2-s2.0-84946052533
Contributors: Doire, C.S.J.; Brookes, M.; Naylor, P.A.; Betts, D.; Hicks, C.M.; Dmour, M.A.; Holdt Jensen, S.
Source: Self-asserted source
Clement Doire via Scopus - Elsevier
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