R. Serizel

Emmanuel Vincent, Romain Serizel, Nicolas Turpault, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments pdf

Nicolas Turpault, Romain Serizel, Hamid Eghbal-Zadeh, 2018, DCASE.

Rank-1 constrained Multichannel Wiener Filter for speech recognition in noisy environments pdf

Yonghong Yan, Emmanuel Vincent, Romain Serizel, 2017, Comput. Speech Lang..

What’s all the Fuss about Free Universal Sound Separation Data? pdf

Justin Salamon, Prem Seetharaman, Hakan Erdogan, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Compensating noise and reverberation in far-field Multichannel Speaker Verification

D. Matrouf, D. Jouvet, R. Serizel, 2022 .

Audio-visual speech enhancement with a deep Kalman filter generative model

R. Serizel, M. Sadeghi, A. Golmakani, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Weighted variance variational autoencoder for speech enhancement

Xavier Alameda-Pineda, R. Serizel, M. Sadeghi, 2022, ArXiv.

CRNN-Based Multiple DoA Estimation Using Acoustic Intensity Features for Ambisonics Recordings

Emmanuel Vincent, Romain Serizel, Lauréline Perotin, 2019, IEEE Journal of Selected Topics in Signal Processing.

Joint NN-Supported Multichannel Reduction of Acoustic Echo, Reverberation and Noise

E. Vincent, R. Serizel, Guillaume Carbajal, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Feature Learning With Matrix Factorization Applied to Acoustic Scene Classification

Gaël Richard, Victor Bisot, Romain Serizel, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Audio-Based Search and Rescue With a Drone: Highlights From the IEEE Signal Processing Cup 2019 Student Competition [SP Competitions]

Lucio Marcenaro, Martin Strauss, Romain Serizel, 2019, IEEE Signal Processing Magazine.

Multichannel Speech Separation with Recurrent Neural Networks from High-Order Ambisonics Recordings

Emmanuel Vincent, Romain Serizel, Alexandre Guérin, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multiple-Input Neural Network-Based Residual Echo Suppression

Emmanuel Vincent, Romain Serizel, Guillaume Carbajal, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditions

D. Jouvet, R. Serizel, Sandipana Dowerah, 2023, INTERSPEECH.

Joint Optimization of Diffusion Probabilistic-Based Multichannel Speech Enhancement with Far-Field Speaker Verification

D. Matrouf, D. Jouvet, R. Serizel, 2023, 2022 IEEE Spoken Language Technology Workshop (SLT).

DNN-Based Mask Estimation for Distributed Speech Enhancement in Spatially Unconstrained Microphone Arrays

Slim Essid, Irina Illina, Romain Serizel, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Multiview Approaches to Event Detection and Scene Analysis

Fabio Antonacci, Romain Serizel, Slim Essid, 2018 .

Deep-neural network approaches for speech recognition with heterogeneous groups of speakers including children†

Diego Giuliani, Romain Serizel, D. Giuliani, 2016, Natural Language Engineering.

Spice+: Evaluation of Automatic Audio Captioning Systems with Pre-Trained Language Models

R. Serizel, Christophe Cerisara, Félix Gontier, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving Sound Event Detection in Domestic Environments using Sound Separation pdf

Scott Wisdom, John R. Hershey, Justin Salamon, 2020, DCASE.

Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes pdf

Justin Salamon, Prem Seetharaman, Hakan Erdogan, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving Sound Event Detection Metrics: Insights from DCASE 2020 pdf

Nicolas Turpault, Romain Serizel, Giacomo Ferroni, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training Sound Event Detection on a Heterogeneous Dataset pdf

Nicolas Turpault, Romain Serizel, R. Serizel, 2020, DCASE.

Sound Event Detection in Synthetic Domestic Environments

Justin Salamon, Nicolas Turpault, Romain Serizel, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach

A. Rakotomamonjy, R. Serizel, G. Gasso, 2022, Workshop on Detection and Classification of Acoustic Scenes and Events.

Threshold Independent Evaluation of Sound Event Detection Scores

R. Serizel, Janek Ebbers, Reinhold Haeb-Umbach, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-rank Approximation Based Multichannel Wiener Filter Algorithms for Noise Reduction with Application in Cochlear Implants

Marc Moonen, Romain Serizel, Jan Wouters, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Distributed Speech Separation in Spatially Unconstrained Microphone Arrays

Slim Essid, Irina Illina, Romain Serizel, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

CRNN-based Joint Azimuth and Elevation Localization with the Ambisonics Intensity Vector

Emmanuel Vincent, Romain Serizel, Alexandre Guérin, 2018, 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC).

Analysis of weak labels for sound event tagging

E. Vincent, R. Serizel, Nicolas Turpault, 2021 .

Limitations of Weak Labels for Embedding and Tagging

Emmanuel Vincent, Nicolas Turpault, Romain Serizel, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sound Event Detection from Partially Annotated Data: Trends and Challenges

Romain Serizel, Nicolas Turpault, R. Serizel, 2019 .

Foreground-Background Ambient Sound Scene Separation

Emmanuel Vincent, Gilles Gasso, Romain Serizel, 2020, 2020 28th European Signal Processing Conference (EUSIPCO).

Post-Processing Independent Evaluation of Sound Event Detection Systems

R. Serizel, Janek Ebbers, Reinhold Haeb-Umbach, 2023, arXiv.org.

The impact of non-target events in synthetic soundscapes for sound event detection

Romain Serizel, Samuele Cornell, Francesca Ronchini, 2021, DCASE.

Nonnegative Feature Learning Methods for Acoustic Scene Classification

Gaël Richard, Victor Bisot, Romain Serizel, 2017 .

Multichannel Audio Modeling with Elliptically Stable Tensor Decomposition

Antoine Liutkus, Roland Badeau, Romain Serizel, 2018, LVA/ICA.

Leveraging deep neural networks with nonnegative representations for improved environmental sound classification

Gaël Richard, Victor Bisot, Romain Serizel, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Nonnegative Feature Learning Methods for Acoustic Scene Classification

S. Essid, G. Richard, Victor Bisot, 2017, DCASE.

Supervised group nonnegative matrix factorisation with similarity constraints and applications to speaker identification

Gaël Richard, Victor Bisot, Romain Serizel, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mini-batch stochastic approaches for accelerated multiplicative updates in nonnegative matrix factorisation with beta-divergence

S. Essid, G. Richard, R. Serizel, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise

E. Vincent, R. Serizel, Guillaume Carbajal, 2019, ArXiv.

Vocal tract length normalisation approaches to DNN-based children's and adults' speech recognition

Diego Giuliani, Romain Serizel, D. Giuliani, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion

Gabriel Synnaeve, Yossi Adi, R. Serizel, 2023, NeurIPS.

Machine listening techniques as a complement to video image analysis in forensics

Gaël Richard, Victor Bisot, Romain Serizel, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Deep neural network adaptation for children's and adults' speech recognition

Diego Giuliani, Romain Serizel, D. Giuliani, 2014, Proceedings of the First Italian Conference on Computational Linguistics CLiC-it 2014 and of the Fourth International Workshop EVALITA 2014 9-11 December 2014, Pisa.

Semi-supervised Triplet Loss Based Learning of Ambient Audio Embeddings

E. Vincent, R. Serizel, Nicolas Turpault, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SUPERVISED CONTRASTIVE LEARNING FOR PRE-TRAINING BIOACOUSTIC FEW-SHOT SYSTEMS

R. Serizel, Nicolas Farrugia, Ilyass Moummad, 2023 .