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2020 – today
- 2025
[j6]Salah Zaiem
, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Speech self-supervised representations benchmarking: A case for larger probing heads. Comput. Speech Lang. 89: 101695 (2025)- 2024
- [j5]Titouan Parcollet, Ha Nguyen, Solène Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia A. Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Estève, Mickael Rouvier, Jérôme Goulian, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech. Comput. Speech Lang. 86: 101622 (2024) - [c42]Ryan Whetten, Titouan Parcollet, Marco Dinarelli, Yannick Estève:
Open Implementation and Study of Best-RQ for Speech Processing. ICASSP Workshops 2024: 460-464 - [c41]Ryan Whetten, Titouan Parcollet, Marco Dinarelli, Yannick Estève:
Implémentation ouverte et étude de BEST-RQ pour le traitement de la parole. TALN (JEP) 2024: 412-420 - [i44]Ryan Whetten, Titouan Parcollet, Marco Dinarelli, Yannick Estève:
Open Implementation and Study of BEST-RQ for Speech Processing. CoRR abs/2405.04296 (2024) - [i43]Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève:
Open-Source Conversational AI with SpeechBrain 1.0. CoRR abs/2407.00463 (2024) - [i42]Salah Zaiem, Titouan Parcollet, Slim Essid:
Less Forgetting for Better Generalization: Exploring Continual-learning Fine-tuning Methods for Speech Self-supervised Representations. CoRR abs/2407.00756 (2024) - [i41]Shucong Zhang, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Linear-Complexity Self-Supervised Learning for Speech Processing. CoRR abs/2407.13377 (2024) - [i40]Jarod Duret, Yannick Estève, Titouan Parcollet:
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation. CoRR abs/2407.18332 (2024) - [i39]Ryan Whetten, Titouan Parcollet, Adel Moumen, Marco Dinarelli, Yannick Estève:
An Analysis of Linear Complexity Attention Substitutes with BEST-RQ. CoRR abs/2409.02596 (2024) - [i38]Titouan Parcollet, Rogier van Dalen, Shucong Zhang, Sourav Batthacharya:
Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. CoRR abs/2409.07165 (2024) - 2023
- [j4]Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. 24: 129:1-129:23 (2023) - [c40]Jarod Duret, Benjamin O'Brien, Yannick Estève, Titouan Parcollet:
Enhancing Expressivity Transfer in Textless Speech-to-Speech Translation. ASRU 2023: 1-8 - [c39]Adel Moumen, Titouan Parcollet:
Stabilising and Accelerating Light Gated Recurrent Units for Automatic Speech Recognition. ICASSP 2023: 1-5 - [c38]Salah Zaiem, Robin Algayres, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Fine-Tuning Strategies for Faster Inference Using Speech Self-Supervised Models: A Comparative Study. ICASSP Workshops 2023: 1-5 - [c37]Salah Zaiem, Titouan Parcollet, Slim Essid:
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations. INTERSPEECH 2023: 67-71 - [c36]Titouan Parcollet, Shucong Zhang, Rogier van Dalen, Alberto Gil C. P. Ramos, Sourav Bhattacharya:
On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning. INTERSPEECH 2023: 581-585 - [c35]Shucong Zhang, Malcolm Chadwick, Alberto Gil C. P. Ramos, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Real-Time Personalised Speech Enhancement Transformers with Dynamic Cross-attended Speaker Representations. INTERSPEECH 2023: 804-808 - [c34]Florian Mai, Juan Zuluaga-Gomez, Titouan Parcollet, Petr Motlícek:
HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition. INTERSPEECH 2023: 2213-2217 - [c33]Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Speech Self-Supervised Representation Benchmarking: Are We Doing it Right? INTERSPEECH 2023: 2873-2877 - [c32]Jarod Duret, Yannick Estève, Titouan Parcollet:
Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data. SSW 2023: 184-190 - [i37]Adel Moumen, Titouan Parcollet:
Stabilising and accelerating light gated recurrent units for automatic speech recognition. CoRR abs/2302.10144 (2023) - [i36]Salah Zaiem, Robin Algayres, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study. CoRR abs/2303.06740 (2023) - [i35]Florian Mai, Juan Zuluaga-Gomez, Titouan Parcollet, Petr Motlícek:
HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition. CoRR abs/2305.18281 (2023) - [i34]Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Speech Self-Supervised Representation Benchmarking: Are We Doing it Right? CoRR abs/2306.00452 (2023) - [i33]Salah Zaiem, Titouan Parcollet, Slim Essid:
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations. CoRR abs/2306.00481 (2023) - [i32]Jarod Duret, Titouan Parcollet, Yannick Estève:
Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data. CoRR abs/2306.17199 (2023) - [i31]Titouan Parcollet, Rogier van Dalen, Shucong Zhang, Sourav Bhattacharya:
Sumformer: A Linear-Complexity Alternative to Self-Attention for Speech Recognition. CoRR abs/2307.07421 (2023) - [i30]Salah Zaiem, Youcef Kemiche, Titouan Parcollet, Slim Essid, Mirco Ravanelli:
Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads. CoRR abs/2308.14456 (2023) - [i29]Titouan Parcollet, Ha Nguyen, Solène Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia A. Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Estève, Mickael Rouvier, Jérôme Goulian, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech. CoRR abs/2309.05472 (2023) - [i28]Jarod Duret, Benjamin O'Brien, Yannick Estève, Titouan Parcollet:
Enhancing expressivity transfer in textless speech-to-speech translation. CoRR abs/2310.07279 (2023) - 2022
- [j3]Salah Zaiem, Titouan Parcollet, Slim Essid, Abdelwahab Heba:
Pretext Tasks Selection for Multitask Self-Supervised Audio Representation Learning. IEEE J. Sel. Top. Signal Process. 16(6): 1439-1453 (2022) - [c31]Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane:
End-to-End Speech Recognition from Federated Acoustic Models. ICASSP 2022: 7227-7231 - [c30]Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. ICLR 2022 - [c29]Salah Zaiem, Titouan Parcollet, Slim Essid:
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning. INTERSPEECH 2022: 669-673 - [c28]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH 2022: 3809-3813 - [c27]Salima Mdhaffar, Jarod Duret, Titouan Parcollet, Yannick Estève:
End-to-end model for named entity recognition from speech without paired training data. INTERSPEECH 2022: 4068-4072 - [c26]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane:
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. SLT 2022: 115-122 - [e1]Yannick Estève, Tania Jiménez, Titouan Parcollet, Marcely Zanon Boito:
Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, TALN-RECITAL 2022, Avignon, France, June 27 - July 1, 2022. ATALA 2022 [contents] - [i27]Salima Mdhaffar, Jarod Duret, Titouan Parcollet, Yannick Estève:
End-to-end model for named entity recognition from speech without paired training data. CoRR abs/2204.00803 (2022) - [i26]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? CoRR abs/2204.02804 (2022) - [i25]Salah Zaiem, Titouan Parcollet, Slim Essid:
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning. CoRR abs/2204.04170 (2022) - [i24]Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. CoRR abs/2208.02507 (2022) - [i23]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane:
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR abs/2209.15575 (2022) - 2021
- [c25]Yan Gao, Titouan Parcollet, Nicholas D. Lane:
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. ASRU 2021: 138-145 - [c24]Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. Interspeech 2021: 1439-1443 - [c23]Paul-Gauthier Noé, Mohammad MohammadAmini, Driss Matrouf, Titouan Parcollet, Andreas Nautsch, Jean-François Bonastre:
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation. Interspeech 2021: 1902-1906 - [c22]Salah Zaiem, Titouan Parcollet, Slim Essid:
Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning. Interspeech 2021: 2851-2855 - [c21]Titouan Parcollet, Mirco Ravanelli:
The Energy and Carbon Footprint of Training End-to-End Speech Recognizers. Interspeech 2021: 4583-4587 - [c20]Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. NeurIPS Datasets and Benchmarks 2021 - [c19]Loren Lugosch, Piyush Papreja, Mirco Ravanelli, Abdelwahab Heba, Titouan Parcollet:
Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers. NeurIPS Datasets and Benchmarks 2021 - [i22]Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A first look into the carbon footprint of federated learning. CoRR abs/2102.07627 (2021) - [i21]Loren Lugosch, Piyush Papreja, Mirco Ravanelli, Abdelwahab Heba, Titouan Parcollet:
Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers. CoRR abs/2104.01604 (2021) - [i20]Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane:
On-device Federated Learning with Flower. CoRR abs/2104.03042 (2021) - [i19]Salah Zaiem, Titouan Parcollet, Slim Essid:
Conditional independence for pretext task selection in Self-supervised speech representation learning. CoRR abs/2104.07388 (2021) - [i18]Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. CoRR abs/2104.11462 (2021) - [i17]Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane:
End-to-End Speech Recognition from Federated Acoustic Models. CoRR abs/2104.14297 (2021) - [i16]Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori, Yoshua Bengio:
SpeechBrain: A General-Purpose Speech Toolkit. CoRR abs/2106.04624 (2021) - [i15]Salah Zaiem, Titouan Parcollet, Slim Essid:
Pretext Tasks selection for multitask self-supervised speech representation learning. CoRR abs/2107.00594 (2021) - 2020
- [j2]Titouan Parcollet, Mohamed Morchid, Georges Linarès:
A survey of quaternion neural networks. Artif. Intell. Rev. 53(4): 2957-2982 (2020) - [j1]Titouan Parcollet, Mohamed Morchid, Xavier Bost, Georges Linarès, Renato De Mori:
Real to H-Space Autoencoders for Theme Identification in Telephone Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 28: 198-210 (2020) - [c18]Titouan Parcollet, Mohamed Morchid, Georges Linarès:
E2E-SINCNET: Toward Fully End-To-End Speech Recognition. ICASSP 2020: 7714-7718 - [c17]Paul-Gauthier Noé, Titouan Parcollet, Mohamed Morchid:
CGCNN: Complex Gabor Convolutional Neural Network on Raw Speech. ICASSP 2020: 7724-7728 - [c16]Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid:
Quaternion Neural Networks for Multi-Channel Distant Speech Recognition. INTERSPEECH 2020: 329-333 - [c15]Titouan Parcollet, Xinchi Qiu, Nicholas D. Lane:
FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition. INTERSPEECH 2020: 1678-1682 - [i14]Paul-Gauthier Noé, Titouan Parcollet, Mohamed Morchid:
CGCNN: Complex Gabor Convolutional Neural Network on raw speech. CoRR abs/2002.04569 (2020) - [i13]Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid:
Quaternion Neural Networks for Multi-channel Distant Speech Recognition. CoRR abs/2005.08566 (2020) - [i12]Yan Gao, Titouan Parcollet, Nicholas D. Lane:
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. CoRR abs/2005.09310 (2020) - [i11]Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, Nicholas D. Lane:
Flower: A Friendly Federated Learning Research Framework. CoRR abs/2007.14390 (2020) - [i10]Xinchi Qiu, Titouan Parcollet, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A first look into the carbon footprint of federated learning. CoRR abs/2010.06537 (2020) - [i9]Paul-Gauthier Noé, Mohammad MohammadAmini, Driss Matrouf, Titouan Parcollet, Jean-François Bonastre:
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation. CoRR abs/2012.04454 (2020)
2010 – 2019
- 2019
- [b1]Titouan Parcollet:
Quaternion neural networks. (Réseaux de neurones fondés sur l'algèbre des quaternions). University of Avignon, France, 2019 - [c14]Titouan Parcollet, Mohamed Morchid, Georges Linarès:
Réseaux de neurones convolutifs de quaternions pour l'identification de thèmes de conversations téléphoniques. CORIA 2019 - [c13]Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio:
The Pytorch-kaldi Speech Recognition Toolkit. ICASSP 2019: 6465-6469 - [c12]Titouan Parcollet, Mohamed Morchid, Georges Linarès:
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing. ICASSP 2019: 8514-8518 - [c11]Titouan Parcollet, Mohamed Morchid, Georges Linarès, Renato De Mori:
Bidirectional Quaternion Long Short-term Memory Recurrent Neural Networks for Speech Recognition. ICASSP 2019: 8519-8523 - [c10]Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori, Yoshua Bengio:
Quaternion Recurrent Neural Networks. ICLR (Poster) 2019 - [c9]Titouan Parcollet, Mohamed Morchid, Xavier Bost, Georges Linarès:
M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech Understanding. INTERSPEECH 2019: 804-808 - [c8]Titouan Parcollet, Mohamed Morchid, Georges Linarès, Renato De Mori:
Real to H-Space Encoder for Speech Recognition. INTERSPEECH 2019: 4415-4419 - [i8]Titouan Parcollet, Mohamed Morchid, Xavier Bost, Georges Linarès:
M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding. CoRR abs/1905.01957 (2019) - [i7]Titouan Parcollet, Mohamed Morchid, Georges Linarès, Renato De Mori:
Real to H-space Encoder for Speech Recognition. CoRR abs/1906.08043 (2019) - 2018
- [c7]Titouan Parcollet, Ying Zhang, Mohamed Morchid, Chiheb Trabelsi, Georges Linarès, Renato de Mori, Yoshua Bengio:
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. INTERSPEECH 2018: 22-26 - [c6]Titouan Parcollet, Mohamed Morchid, Georges Linarès, Renato De Mori:
Quaternion Convolutional Neural Networks For Theme Identification Of Telephone Conversations. SLT 2018: 685-691 - [i6]Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori, Yoshua Bengio:
Quaternion Recurrent Neural Networks. CoRR abs/1806.04418 (2018) - [i5]Titouan Parcollet, Ying Zhang, Mohamed Morchid, Chiheb Trabelsi, Georges Linarès, Renato De Mori, Yoshua Bengio:
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. CoRR abs/1806.07789 (2018) - [i4]Titouan Parcollet, Mohamed Morchid, Georges Linarès, Renato De Mori:
Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition. CoRR abs/1811.02566 (2018) - [i3]Titouan Parcollet, Mohamed Morchid, Georges Linarès:
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing. CoRR abs/1811.02656 (2018) - [i2]Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio:
The PyTorch-Kaldi Speech Recognition Toolkit. CoRR abs/1811.07453 (2018) - [i1]Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Renato De Mori:
Speech recognition with quaternion neural networks. CoRR abs/1811.09678 (2018) - 2017
- [c5]Titouan Parcollet, Mohamed Morchid, Georges Linarès:
Deep quaternion neural networks for spoken language understanding. ASRU 2017: 504-511 - [c4]Titouan Parcollet, Mohamed Morchid, Georges Linarès:
Réseaux de neurones de quaternions pour le traitement du langage. CORIA 2017: 297-310 - [c3]Titouan Parcollet, Mohamed Morchid, Georges Linarès:
Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations. INTERSPEECH 2017: 3325-3328 - 2016
- [c2]Titouan Parcollet, Mohamed Morchid, Pierre-Michel Bousquet, Richard Dufour, Georges Linarès, Renato De Mori:
Quaternion Neural Networks for Spoken Language Understanding. SLT 2016: 362-368 - [c1]Richard Dufour, Mohamed Morchid, Titouan Parcollet:
Tracking dialog states using an Author-Topic based representation. SLT 2016: 544-551
Coauthor Index
Pedro Porto Buarque de Gusmão
aka: Pedro P. B. de Gusmao
aka: Pedro P. B. de Gusmao
Nicholas D. Lane
aka: Nicholas Donald Lane
aka: Nicholas Donald Lane
Renato De Mori
aka: Renato de Mori
aka: Renato de Mori
Mohamed Salah Zaïem
aka: Salah Zaiem
aka: Salah Zaiem
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