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2020 – today
- 2024
[c61]Mohammad MohammadAmini, Driss Matrouf, Mickaël Rouvier, Jean-François Bonastre, Romain Serizel, Théophile Gonos:
RoboVox: A Single/Multi-channel Far-field Speaker Recognition Benchmark for a Mobile Robot. LREC/COLING 2024: 14152-14156- [c60]Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen:
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. EUSIPCO 2024: 1282-1286 - [c59]Ilyass Moummad, Nicolas Farrugia, Romain Serizel:
Self-Supervised Learning for Few-Shot Bird Sound Classification. ICASSP Workshops 2024: 600-604 - [c58]Francesca Ronchini, Romain Serizel:
Performance and Energy Balance: A Comprehensive Study of State-of-the-Art Sound Event Detection Systems. ICASSP 2024: 1096-1100 - [c57]Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel:
A Weighted-Variance Variational Autoencoder Model for Speech Enhancement. ICASSP 2024: 12451-12455 - [c56]Mostafa Sadeghi, Romain Serizel:
Posterior Sampling Algorithms for Unsupervised Speech Enhancement with Recurrent Variational Autoencoder. ICASSP 2024: 12466-12470 - [c55]Berné Nortier, Mostafa Sadeghi, Romain Serizel:
Unsupervised Speech Enhancement with Diffusion-Based Generative Models. ICASSP 2024: 12481-12485 - [c54]Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel:
Diffusion-Based Speech Enhancement with a Weighted Generative-Supervised Learning Loss. ICASSP 2024: 12506-12510 - [i43]Nasser-Eddine Monir, Paul Magron, Romain Serizel:
A Phoneme-Scale Assessment of Multichannel Speech Enhancement Algorithms. CoRR abs/2401.13548 (2024) - [i42]Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen:
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. CoRR abs/2403.09598 (2024) - [i41]Samuele Cornell, Janek Ebbers, Constance Douwes, Irene Martín-Morató, Manu Harju, Annamaria Mesaros, Romain Serizel:
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels. CoRR abs/2406.08056 (2024) - [i40]Robin San Roman, Pierre Fernandez, Antoine Deleforge, Yossi Adi, Romain Serizel:
Latent Watermarking of Audio Generative Models. CoRR abs/2409.02915 (2024) - [i39]Constance Douwes, Romain Serizel:
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for SED Systems. CoRR abs/2409.05080 (2024) - [i38]Constance Douwes, Romain Serizel:
Normalizing Energy Consumption for Hardware-Independent Evaluation. CoRR abs/2409.05602 (2024) - [i37]Ilyass Moummad, Romain Serizel, Emmanouil Benetos, Nicolas Farrugia:
Domain-Invariant Representation Learning of Bird Sounds. CoRR abs/2409.08589 (2024) - [i36]Constance Douwes, Romain Serizel:
Energy Consumption Trends in Sound Event Detection Systems. CoRR abs/2409.08763 (2024) - [i35]Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel, Xavier Alameda-Pineda:
Diffusion-based Unsupervised Audio-visual Speech Enhancement. CoRR abs/2410.05301 (2024) - 2023
- [c53]Louis Delebecque, Romain Serizel:
BinauRec: A dataset to test the influence of the use of room impulse responses on binaural speech enhancement. EUSIPCO 2023: 126-130 - [c52]François Effa, Romain Serizel, Jean-Pierre Arz, Nicolas Grimault
:
Lightweight Annotation and Class Weight Training for Automatic Estimation of Alarm Audibility in Noise. ICASSP 2023: 1-5 - [c51]Ali Golmakani, Mostafa Sadeghi, Romain Serizel:
Audio-Visual Speech Enhancement with a Deep Kalman Filter Generative Model. ICASSP 2023: 1-5 - [c50]Félix Gontier, Romain Serizel, Christophe Cerisara:
Spice+: Evaluation of Automatic Audio Captioning Systems with Pre-Trained Language Models. ICASSP 2023: 1-5 - [c49]Mostafa Sadeghi, Romain Serizel:
Fast and Efficient Speech Enhancement with Variational Autoencoders. ICASSP 2023: 1-5 - [c48]Romain Serizel, Samuele Cornell, Nicolas Turpault:
Performance Above All? Energy Consumption vs. Performance, a Study on Sound Event Detection with Heterogeneous Data. ICASSP 2023: 1-5 - [c47]Sandipana Dowerah, Ajinkya Kulkarni, Romain Serizel, Denis Jouvet:
Self-supervised learning with Diffusion-based multichannel speech enhancement for speaker verification under noisy conditions. INTERSPEECH 2023: 3849-3853 - [c46]Robin San Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Défossez:
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion. NeurIPS 2023 - [i34]Janek Ebbers, Reinhold Haeb-Umbach, Romain Serizel:
Post-Processing Independent Evaluation of Sound Event Detection Systems. CoRR abs/2306.15440 (2023) - [i33]Sandipana Dowerah, Ajinkya Kulkarni, Romain Serizel, Denis Jouvet:
Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditions. CoRR abs/2307.02244 (2023) - [i32]Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina:
SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays. CoRR abs/2307.16582 (2023) - [i31]Robin San-Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Défossez:
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion. CoRR abs/2308.02560 (2023) - [i30]Ilyass Moummad, Romain Serizel, Nicolas Farrugia:
Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning. CoRR abs/2309.00878 (2023) - [i29]Ilyass Moummad, Romain Serizel, Nicolas Farrugia:
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection. CoRR abs/2309.08971 (2023) - [i28]Mostafa Sadeghi, Romain Serizel:
Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder. CoRR abs/2309.10439 (2023) - [i27]Berné Nortier, Mostafa Sadeghi, Romain Serizel:
Unsupervised speech enhancement with diffusion-based generative models. CoRR abs/2309.10450 (2023) - [i26]Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel:
Diffusion-based speech enhancement with a weighted generative-supervised learning loss. CoRR abs/2309.10457 (2023) - [i25]Francesca Ronchini, Romain Serizel:
Performance and energy balance: a comprehensive study of state-of-the-art sound event detection systems. CoRR abs/2310.03455 (2023) - [i24]Ilyass Moummad, Romain Serizel, Nicolas Farrugia:
Self-Supervised Learning for Few-Shot Bird Sound Classification. CoRR abs/2312.15824 (2023) - 2022
- [b1]Romain Serizel:
Contributions to speech processing and ambient sound analysis. University of Lorraine, Nancy, France, 2022 - [c45]Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso:
Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach. DCASE 2022 - [c44]François Effa, Romain Serizel, Jean-Pierre Arz, Nicolas Grimault:
Convolutional Neural Network for Audibility Assessment of Acoustic Alarms. DCASE 2022 - [c43]Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis:
Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System. DCASE 2022 - [c42]Mohammad MohammadAmini, Driss Matrouf, Jean-François Bonatsre, Sandipana Dowerah, Romain Serizel, Denis Jouvet:
A Comprehensive Exploration of Noise Robustness and Noise Compensation in ResNet and TDNN-based Speaker Recognition Systems. EUSIPCO 2022: 364-368 - [c41]Janek Ebbers, Reinhold Haeb-Umbach, Romain Serizel:
Threshold Independent Evaluation of Sound Event Detection Scores. ICASSP 2022: 1021-1025 - [c40]Francesca Ronchini, Romain Serizel:
A Benchmark of State-of-the-Art Sound Event Detection Systems Evaluated on Synthetic Soundscapes. ICASSP 2022: 1031-1035 - [c39]Mohammad MohammadAmini, Driss Matrouf, Jean-François Bonastre, Sandipana Dowerah, Romain Serizel, Denis Jouvet:
Barlow Twins self-supervised learning for robust speaker recognition. INTERSPEECH 2022: 4033-4037 - [c38]Mohammad MohammadAmini, Driss Matrouf, Jean-François Bonastre, Sandipana Dowerah, Romain Serizel, Denis Jouvet:
Learning Noise Robust ResNet-Based Speaker Embedding for Speaker Recognition. Odyssey 2022: 41-46 - [c37]Sandipana Dowerah, Romain Serizel, Denis Jouvet, Mohammad MohammadAmini, Driss Matrouf:
Joint Optimization of Diffusion Probabilistic-Based Multichannel Speech Enhancement with Far-Field Speaker Verification. SLT 2022: 428-435 - [e1]Mathieu Lagrange, Annamaria Mesaros, Thomas Pellegrini, Gaël Richard, Romain Serizel, Dan Stowell:
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, DCASE 2022, Nancy, France, November 3-4, 2022. Tampere University 2022, ISBN 978-952-03-2677-7 [contents] - [i23]Janek Ebbers, Romain Serizel, Reinhold Haeb-Umbach:
Threshold Independent Evaluation of Sound Event Detection Scores. CoRR abs/2201.13148 (2022) - [i22]Francesca Ronchini, Romain Serizel:
A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes. CoRR abs/2202.01487 (2022) - [i21]Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis:
Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system. CoRR abs/2210.07856 (2022) - [i20]Sandipana Dowerah, Romain Serizel, Denis Jouvet, Mohammad MohammadAmini, Driss Matrouf:
How to Leverage DNN-based speech enhancement for multi-channel speaker verification? CoRR abs/2210.08834 (2022) - [i19]Ali Golmakani, Mostafa Sadeghi, Romain Serizel:
Audio-visual speech enhancement with a deep Kalman filter generative model. CoRR abs/2211.00988 (2022) - [i18]Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel:
Weighted variance variational autoencoder for speech enhancement. CoRR abs/2211.00990 (2022) - [i17]Mostafa Sadeghi, Romain Serizel:
Fast and efficient speech enhancement with variational autoencoders. CoRR abs/2211.02728 (2022) - 2021
- [j14]Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina:
DNN-Based Mask Estimation for Distributed Speech Enhancement in Spatially Unconstrained Microphone Arrays. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2310-2323 (2021) - [c36]Francesca Ronchini, Romain Serizel, Nicolas Turpault, Samuele Cornell:
The Impact of Non-Target Events in Synthetic Soundscapes for Sound Event Detection. DCASE 2021: 115-119 - [c35]Félix Gontier, Romain Serizel, Christophe Cerisara:
Automated Audio Captioning by Fine-Tuning BART with AudioSet Tags. DCASE 2021: 170-174 - [c34]Mohammad MohammadAmini, Driss Matrouf, Jean-François Bonastre, Romain Serizel, Sandipana Dowerah, Denis Jouvet:
Compensate multiple distortions for speaker recognition systems. EUSIPCO 2021: 141-145 - [c33]Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina:
Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes. EUSIPCO 2021: 1095-1099 - [c32]Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey:
What's all the Fuss about Free Universal Sound Separation Data? ICASSP 2021: 186-190 - [c31]Giacomo Ferroni, Nicolas Turpault, Juan Azcarreta, Francesco Tuveri, Romain Serizel, Çagdas Bilen, Sacha Krstulovic:
Improving Sound Event Detection Metrics: Insights from DCASE 2020. ICASSP 2021: 631-635 - [c30]Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes. ICASSP 2021: 840-844 - [c29]Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid:
Distributed Speech Separation in Spatially Unconstrained Microphone Arrays. ICASSP 2021: 4490-4494 - [c28]Md. Sahidullah, Achintya Kumar Sarkar, Ville Vestman, Xuechen Liu, Romain Serizel, Tomi Kinnunen, Zheng-Hua Tan, Emmanuel Vincent:
UIAI System for Short-Duration Speaker Verification Challenge 2020. SLT 2021: 323-329 - [i16]Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina:
Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes. CoRR abs/2106.07939 (2021) - [i15]Francesca Ronchini, Romain Serizel, Nicolas Turpault, Samuele Cornell:
The impact of non-target events in synthetic soundscapes for sound event detection. CoRR abs/2109.14061 (2021) - 2020
- [j13]Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert:
Joint NN-Supported Multichannel Reduction of Acoustic Echo, Reverberation and Noise. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2158-2173 (2020) - [c27]Nicolas Turpault, Romain Serizel:
Training Sound Event Detection on a Heterogeneous Dataset. DCASE 2020: 200-204 - [c26]Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Improving Sound Event Detection in Domestic Environments using Sound Separation. DCASE 2020: 205-209 - [c25]Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso:
Foreground-Background Ambient Sound Scene Separation. EUSIPCO 2020: 281-285 - [c24]Romain Serizel, Nicolas Turpault, Ankit Parag Shah, Justin Salamon:
Sound Event Detection in Synthetic Domestic Environments. ICASSP 2020: 86-90 - [c23]Nicolas Turpault, Romain Serizel, Emmanuel Vincent:
Limitations of Weak Labels for Embedding and Tagging. ICASSP 2020: 131-135 - [c22]Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid:
DNN-based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays. ICASSP 2020: 4672-4676 - [i14]Nicolas Turpault, Romain Serizel, Emmanuel Vincent:
Limitations of weak labels for embedding and tagging. CoRR abs/2002.01687 (2020) - [i13]Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid:
DNN-Based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays. CoRR abs/2002.06016 (2020) - [i12]Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso:
Foreground-Background Ambient Sound Scene Separation. CoRR abs/2005.07006 (2020) - [i11]Nicolas Turpault, Romain Serizel:
Training Sound Event Detection On A Heterogeneous Dataset. CoRR abs/2007.03931 (2020) - [i10]Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Improving Sound Event Detection In Domestic Environments Using Sound Separation. CoRR abs/2007.03932 (2020) - [i9]Md. Sahidullah, Achintya Kumar Sarkar, Ville Vestman, Xuechen Liu, Romain Serizel, Tomi Kinnunen, Zheng-Hua Tan, Emmanuel Vincent:
UIAI System for Short-Duration Speaker Verification Challenge 2020. CoRR abs/2007.13118 (2020) - [i8]Giacomo Ferroni, Nicolas Turpault, Juan Azcarreta, Francesco Tuveri, Romain Serizel, Çagdas Bilen, Sacha Krstulovic:
Improving Sound Event Detection Metrics: Insights from DCASE 2020. CoRR abs/2010.13648 (2020) - [i7]Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes. CoRR abs/2011.00801 (2020) - [i6]Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey:
What's All the FUSS About Free Universal Sound Separation Data? CoRR abs/2011.00803 (2020)
2010 – 2019
- 2019
- [j12]Lauréline Perotin, Romain Serizel, Emmanuel Vincent, Alexandre Guérin:
CRNN-Based Multiple DoA Estimation Using Acoustic Intensity Features for Ambisonics Recordings. IEEE J. Sel. Top. Signal Process. 13(1): 22-33 (2019) - [j11]Antoine Deleforge, Diego Di Carlo, Martin Strauss, Romain Serizel, Lucio Marcenaro:
Audio-Based Search and Rescue With a Drone: Highlights From the IEEE Signal Processing Cup 2019 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 36(5): 138-144 (2019) - [c21]Nicolas Turpault, Romain Serizel, Justin Salamon, Ankit Parag Shah:
Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis. DCASE 2019: 253-257 - [c20]Nicolas Turpault, Romain Serizel, Emmanuel Vincent:
Semi-supervised Triplet Loss Based Learning of Ambient Audio Embeddings. ICASSP 2019: 760-764 - [c19]Lauréline Perotin, Alexandre Défossez, Emmanuel Vincent, Romain Serizel, Alexandre Guérin:
Regression Versus Classification for Neural Network Based Audio Source Localization. WASPAA 2019: 343-347 - [i5]Antoine Deleforge, Diego Di Carlo, Martin Strauss, Romain Serizel, Lucio Marcenaro:
Audio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition. CoRR abs/1907.04655 (2019) - [i4]Md. Sahidullah, Jose Patino, Samuele Cornell, Ruiqing Yin, Sunit Sivasankaran, Hervé Bredin, Pavel Korshunov, Alessio Brutti, Romain Serizel, Emmanuel Vincent, Nicholas W. D. Evans, Sébastien Marcel, Stefano Squartini, Claude Barras:
The Speed Submission to DIHARD II: Contributions & Lessons Learned. CoRR abs/1911.02388 (2019) - [i3]Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert:
Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise. CoRR abs/1911.08934 (2019) - 2018
- [j10]Ziteng Wang, Emmanuel Vincent, Romain Serizel, Yonghong Yan:
Rank-1 constrained Multichannel Wiener Filter for speech recognition in noisy environments. Comput. Speech Lang. 49: 37-51 (2018) - [c18]Romain Serizel, Nicolas Turpault, Hamid Eghbal-Zadeh, Ankit Parag Shah:
Large-scale weakly labeled semi-supervised sound event detection in domestic environments. DCASE 2018: 19-23 - [c17]Mathieu Fontaine, Fabian-Robert Stöter, Antoine Liutkus, Umut Simsekli, Romain Serizel, Roland Badeau:
Multichannel Audio Modeling with Elliptically Stable Tensor Decomposition. LVA/ICA 2018: 13-23 - [c16]Lauréline Perotin, Romain Serizel, Emmanuel Vincent, Alexandre Guérin:
Multichannel Speech Separation with Recurrent Neural Networks from High-Order Ambisonics Recordings. ICASSP 2018: 36-40 - [c15]Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert:
Multiple-Input Neural Network-Based Residual Echo Suppression. ICASSP 2018: 231-235 - [c14]Lauréline Perotin, Romain Serizel, Emmanuel Vincent, Alexandre Guérin:
CRNN-based Joint Azimuth and Elevation Localization with the Ambisonics Intensity Vector. IWAENC 2018: 241-245 - [i2]Romain Serizel, Nicolas Turpault, Hamid Eghbal-Zadeh, Ankit Parag Shah:
Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments. CoRR abs/1807.10501 (2018) - 2017
- [j9]Romain Serizel, Diego Giuliani:
Deep-neural network approaches for speech recognition with heterogeneous groups of speakers including children. Nat. Lang. Eng. 23(3): 325-350 (2017) - [j8]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Feature Learning With Matrix Factorization Applied to Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1216-1229 (2017) - [c13]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Nonnegative Feature Learning Methods for Acoustic Scene Classification. DCASE 2017: 22-26 - [c12]Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard:
Supervised group nonnegative matrix factorisation with similarity constraints and applications to speaker identification. ICASSP 2017: 36-40 - [c11]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Leveraging deep neural networks with nonnegative representations for improved environmental sound classification. MLSP 2017: 1-6 - [i1]Ziteng Wang, Emmanuel Vincent, Romain Serizel, Yonghong Yan:
Rank-1 Constrained Multichannel Wiener Filter for Speech Recognition in Noisy Environments. CoRR abs/1707.00201 (2017) - 2016
- [c10]Romain Serizel, Slim Essid, Gaël Richard:
Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification. ICASSP 2016: 5470-5474 - [c9]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Acoustic scene classification with matrix factorization for unsupervised feature learning. ICASSP 2016: 6445-6449 - [c8]Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard:
Machine listening techniques as a complement to video image analysis in forensics. ICIP 2016: 948-952 - [c7]Romain Serizel, Slim Essid, Gaël Richard:
Mini-batch stochastic approaches for accelerated multiplicative updates in nonnegative matrix factorisation with beta-divergence. MLSP 2016: 1-6 - 2014
- [j7]Romain Serizel, Marc Moonen, Bas van Dijk, Jan Wouters:
Low-rank Approximation Based Multichannel Wiener Filter Algorithms for Noise Reduction with Application in Cochlear Implants. IEEE ACM Trans. Audio Speech Lang. Process. 22(4): 785-799 (2014) - [c6]Bagher BabaAli, Romain Serizel, Shahab Jalalvand, Roberto Gretter, Diego Giuliani:
FBK @ IWSLT 2014 - ASR track. IWSLT (Evaluation Campaign) 2014 - [c5]Romain Serizel, Diego Giuliani:
Vocal tract length normalisation approaches to DNN-based children's and adults' speech recognition. SLT 2014: 135-140 - 2013
- [j6]Romain Serizel, Marc Moonen, Jan Wouters, Søren Holdt Jensen:
A speech distortion weighting based approach to integrated active noise control and noise reduction in hearing aids. Signal Process. 93(9): 2440-2452 (2013) - [j5]Romain Serizel, Marc Moonen, Jan Wouters, Søren Holdt Jensen:
Binaural Integrated Active Noise Control and Noise Reduction in Hearing Aids. IEEE Trans. Speech Audio Process. 21(5): 1113-1118 (2013) - [c4]Romain Serizel, Marc Moonen, Bas van Dijk, Jan Wouters:
Rank-1 approximation based multichannel wiener filtering algorithms for noise reduction in cochlear implants. ICASSP 2013: 8634-8638 - 2012
- [j4]Romain Serizel, Marc Moonen, Jan Wouters, Søren Holdt Jensen:
A Zone-of-Quiet Based Approach to Integrated Active Noise Control and Noise Reduction for Speech Enhancement in Hearing Aids. IEEE Trans. Speech Audio Process. 20(6): 1685-1697 (2012) - 2011
- [j3]Romain Serizel, Marc Moonen, Jan Wouters, Søren Holdt Jensen:
Output SNR analysis of integrated active noise control and noise reduction in hearing aids under a single speech source scenario. Signal Process. 91(8): 1719-1729 (2011) - 2010
- [j2]Romain Serizel, Marc Moonen, Jan Wouters, Søren Holdt Jensen:
Integrated Active Noise Control and Noise Reduction in Hearing Aids. IEEE Trans. Speech Audio Process. 18(6): 1137-1146 (2010) - [c3]Romain Serizel, Marc Moonen, Jan Wouters, Søren Holdt Jensen:
Output SNR analysis of integrated active noise control and noise reduction in hearing aids under a single speech source scenario. EUSIPCO 2010: 36-39
2000 – 2009
- 2009
- [c2]Romain Serizel, Marc Moonen, Jan Wouters, Søren Holdt Jensen:
A weighted approach for integrated active noise control and noise reduction in hearing aids. EUSIPCO 2009: 189-193 - [c1]Romain Serizel, Marc Moonen, Jan Wouters, Søren Holdt Jensen:
A zone of quiet based approach to integrated active noise control and noise reduction in hearing AIDS. WASPAA 2009: 229-232 - 2008
- [j1]Daniel Ménard, Romain Serizel, Romuald Rocher, Olivier Sentieys:
Accuracy Constraint Determination in Fixed-Point System Design. EURASIP J. Embed. Syst. 2008 (2008)
Coauthor Index
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