Tracking dialog states using an Author-Topic based representation. - Richard Dufour; Mohamed Morchid; Titouan Parcollet (SLT, 2016)

Quaternion Neural Networks for Spoken Language Understanding. - Titouan Parcollet; Mohamed Morchid; Pierre-Michel Bousquet; Richard Dufour; Georges Linarès; Renato De Mori (SLT, 2016)

Deep quaternion neural networks for spoken language understanding. - Titouan Parcollet; Mohamed Morchid; Georges Linarès (ASRU, 2017)

Réseaux de neurones de quaternions pour le traitement du langage. - Titouan Parcollet; Mohamed Morchid; Georges Linarès (CORIA, 2017)

Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations. - Titouan Parcollet; Mohamed Morchid; Georges Linarès (INTERSPEECH, 2017)

Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. - Titouan Parcollet; Ying Zhang 033; Mohamed Morchid; Chiheb Trabelsi; Georges Linarès; Renato de Mori; Yoshua Bengio (INTERSPEECH, 2018)

Quaternion Convolutional Neural Networks For Theme Identification Of Telephone Conversations. - Titouan Parcollet; Mohamed Morchid; Georges Linarès; Renato De Mori (SLT, 2018)

Speech recognition with quaternion neural networks. - Titouan Parcollet; Mirco Ravanelli; Mohamed Morchid; Georges Linarès; Renato De Mori (CoRR, 2018)

Réseaux de neurones convolutifs de quaternions pour l'identification de thèmes de conversations téléphoniques. - Titouan Parcollet; Mohamed Morchid; Georges Linarès (CORIA, 2019)

Quaternion Convolutional Neural Networks for Heterogeneous Image Processing. - Titouan Parcollet; Mohamed Morchid; Georges Linarès (ICASSP, 2019)

Bidirectional Quaternion Long Short-term Memory Recurrent Neural Networks for Speech Recognition. - Titouan Parcollet; Mohamed Morchid; Georges Linarès; Renato De Mori (ICASSP, 2019)

The Pytorch-kaldi Speech Recognition Toolkit. - Mirco Ravanelli; Titouan Parcollet; Yoshua Bengio (ICASSP, 2019)

Quaternion Recurrent Neural Networks. - Titouan Parcollet; Mirco Ravanelli; Mohamed Morchid; Georges Linarès; Chiheb Trabelsi; Renato De Mori; Yoshua Bengio (ICLR (Poster), 2019)

M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech Understanding. - Titouan Parcollet; Mohamed Morchid; Xavier Bost; Georges Linarès (INTERSPEECH, 2019)

Real to H-Space Encoder for Speech Recognition. - Titouan Parcollet; Mohamed Morchid; Georges Linarès; Renato De Mori (INTERSPEECH, 2019)

Quaternion neural networks. (Réseaux de neurones fondés sur l'algèbre des quaternions). - Titouan Parcollet (2019)

CGCNN: Complex Gabor Convolutional Neural Network on Raw Speech. - Paul-Gauthier Noé; Titouan Parcollet; Mohamed Morchid (ICASSP, 2020)

E2E-SINCNET: Toward Fully End-To-End Speech Recognition. - Titouan Parcollet; Mohamed Morchid; Georges Linarès (ICASSP, 2020)

FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition. - Titouan Parcollet; Xinchi Qiu; Nicholas D. Lane (INTERSPEECH, 2020)

Quaternion Neural Networks for Multi-Channel Distant Speech Recognition. - Xinchi Qiu; Titouan Parcollet; Mirco Ravanelli; Nicholas D. Lane; Mohamed Morchid (INTERSPEECH, 2020)

A survey of quaternion neural networks. - Titouan Parcollet; Mohamed Morchid; Georges Linarès (Artif. Intell. Rev., 2020)

Flower: A Friendly Federated Learning Research Framework. - Daniel J. Beutel; Taner Topal; Akhil Mathur; Xinchi Qiu; Titouan Parcollet; Nicholas D. Lane (CoRR, 2020)

A first look into the carbon footprint of federated learning. - Xinchi Qiu; Titouan Parcollet; Daniel J. Beutel; Taner Topal; Akhil Mathur; Nicholas D. Lane (CoRR, 2020)

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation. - Paul-Gauthier Noé; Mohammad MohammadAmini; Driss Matrouf; Titouan Parcollet; Jean-François Bonastre (CoRR, 2020)

Real to H-Space Autoencoders for Theme Identification in Telephone Conversations. - Titouan Parcollet; Mohamed Morchid; Xavier Bost; Georges Linarès; Renato De Mori (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. - Yan Gao 016; Titouan Parcollet; Nicholas D. Lane (ASRU, 2021)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (Interspeech, 2021)

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation. - Paul-Gauthier Noé; Mohammad MohammadAmini; Driss Matrouf; Titouan Parcollet; Andreas Nautsch; Jean-François Bonastre (Interspeech, 2021)

The Energy and Carbon Footprint of Training End-to-End Speech Recognizers. - Titouan Parcollet; Mirco Ravanelli (Interspeech, 2021)

Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning. - Salah Zaiem; Titouan Parcollet; Slim Essid (Interspeech, 2021)

Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (NeurIPS Datasets and Benchmarks, 2021)

Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers. - Loren Lugosch; Piyush Papreja; Mirco Ravanelli; Abdelwahab Heba; Titouan Parcollet (NeurIPS Datasets and Benchmarks, 2021)

A first look into the carbon footprint of federated learning. - Xinchi Qiu; Titouan Parcollet; Javier Fernández-Marqués; Pedro Porto Buarque de Gusmão; Daniel J. Beutel; Taner Topal; Akhil Mathur; Nicholas D. Lane (CoRR, 2021)

On-device Federated Learning with Flower. - Akhil Mathur; Daniel J. Beutel; Pedro Porto Buarque de Gusmão; Javier Fernández-Marqués; Taner Topal; Xinchi Qiu; Titouan Parcollet; Yan Gao 016; Nicholas D. Lane (CoRR, 2021)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (CoRR, 2021)

End-to-End Speech Recognition from Federated Acoustic Models. - Yan Gao 016; Titouan Parcollet; Javier Fernández-Marqués; Pedro P. B. de Gusmao; Daniel J. Beutel; Nicholas D. Lane (CoRR, 2021)

SpeechBrain: A General-Purpose Speech Toolkit. - 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; et al. (CoRR, 2021)

Pretext Tasks selection for multitask self-supervised speech representation learning. - Salah Zaiem; Titouan Parcollet; Slim Essid (CoRR, 2021)

End-to-End Speech Recognition from Federated Acoustic Models. - Yan Gao 016; Titouan Parcollet; Salah Zaiem; Javier Fernández-Marqués; Pedro P. B. de Gusmao; Daniel J. Beutel; Nicholas D. Lane (ICASSP, 2022)

ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. - Xinchi Qiu; Javier Fernández-Marqués; Pedro P. B. de Gusmao; Yan Gao 016; Titouan Parcollet; Nicholas Donald Lane (ICLR, 2022)

Federated Self-supervised Speech Representations: Are We There Yet? - Yan Gao 016; Javier Fernández-Marqués; Titouan Parcollet; Abhinav Mehrotra; Nicholas D. Lane (INTERSPEECH, 2022)

End-to-end model for named entity recognition from speech without paired training data. - Salima Mdhaffar; Jarod Duret; Titouan Parcollet; Yannick Estève (INTERSPEECH, 2022)

Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning. - Salah Zaiem; Titouan Parcollet; Slim Essid (INTERSPEECH, 2022)

Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. - Yan Gao 016; Javier Fernández-Marqués; Titouan Parcollet; Pedro P. B. de Gusmao; Nicholas D. Lane (SLT, 2022)

Pretext Tasks Selection for Multitask Self-Supervised Audio Representation Learning. - Salah Zaiem; Titouan Parcollet; Slim Essid; Abdelwahab Heba (IEEE J. Sel. Top. Signal Process., 2022)

Enhancing Expressivity Transfer in Textless Speech-to-Speech Translation. - Jarod Duret; Benjamin O'Brien; Yannick Estève; Titouan Parcollet (ASRU, 2023)

Stabilising and Accelerating Light Gated Recurrent Units for Automatic Speech Recognition. - Adel Moumen; Titouan Parcollet (ICASSP, 2023)

Fine-Tuning Strategies for Faster Inference Using Speech Self-Supervised Models: A Comparative Study. - Salah Zaiem; Robin Algayres; Titouan Parcollet; Slim Essid; Mirco Ravanelli (ICASSP Workshops, 2023)

HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition. - Florian Mai; Juan Zuluaga-Gomez; Titouan Parcollet; Petr Motlícek (INTERSPEECH, 2023)

On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning. - Titouan Parcollet; Shucong Zhang; Rogier van Dalen; Alberto Gil C. P. Ramos; Sourav Bhattacharya (INTERSPEECH, 2023)

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right? - Salah Zaiem; Youcef Kemiche; Titouan Parcollet; Slim Essid; Mirco Ravanelli (INTERSPEECH, 2023)

Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations. - Salah Zaiem; Titouan Parcollet; Slim Essid (INTERSPEECH, 2023)

Real-Time Personalised Speech Enhancement Transformers with Dynamic Cross-attended Speaker Representations. - Shucong Zhang; Malcolm Chadwick; Alberto Gil C. P. Ramos; Titouan Parcollet; Rogier van Dalen; Sourav Bhattacharya (INTERSPEECH, 2023)

Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data. - Jarod Duret; Yannick Estève; Titouan Parcollet (SSW, 2023)

Sumformer: A Linear-Complexity Alternative to Self-Attention for Speech Recognition. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (CoRR, 2023)

A First Look into the Carbon Footprint of Federated Learning. - Xinchi Qiu; Titouan Parcollet; Javier Fernández-Marqués; Pedro P. B. de Gusmao; Yan Gao 016; Daniel J. Beutel; Taner Topal; Akhil Mathur; Nicholas D. Lane (J. Mach. Learn. Res., 2023)

Open Implementation and Study of Best-RQ for Speech Processing. - Ryan Whetten; Titouan Parcollet; Marco Dinarelli; Yannick Estève (ICASSP Workshops, 2024)

SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (INTERSPEECH, 2024)

Linear-Complexity Self-Supervised Learning for Speech Processing. - Shucong Zhang; Titouan Parcollet; Rogier van Dalen; Sourav Bhattacharya (INTERSPEECH, 2024)

An Analysis of Linear Complexity Attention Substitutes With Best-RQ. - Ryan Whetten; Titouan Parcollet; Adel Moumen; Marco Dinarelli; Yannick Estève (SLT, 2024)

Implémentation ouverte et étude de BEST-RQ pour le traitement de la parole. - Ryan Whetten; Titouan Parcollet; Marco Dinarelli; Yannick Estève (TALN (JEP), 2024)

Open-Source Conversational AI with SpeechBrain 1.0. - Mirco Ravanelli; Titouan Parcollet; Adel Moumen; Sylvain de Langen; Cem Subakan; Peter Plantinga; Yingzhi Wang 002; Pooneh Mousavi; Luca Della Libera; Artem Ploujnikov; Francesco Paissan; Davide Borra; et al. (CoRR, 2024)

Less Forgetting for Better Generalization: Exploring Continual-learning Fine-tuning Methods for Speech Self-supervised Representations. - Salah Zaiem; Titouan Parcollet; Slim Essid (CoRR, 2024)

Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation. - Jarod Duret; Yannick Estève; Titouan Parcollet (CoRR, 2024)

Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Batthacharya (CoRR, 2024)

LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech. - Titouan Parcollet; Ha Nguyen; Solène Evain; Marcely Zanon Boito; Adrien Pupier; Salima Mdhaffar; Hang Le 001; Sina Alisamir; Natalia A. Tomashenko; Marco Dinarelli; Shucong Zhang; Alexandre Allauzen; et al. (Comput. Speech Lang., 2024)

Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (ICASSP, 2025)

Speech self-supervised representations benchmarking: A case for larger probing heads. - Salah Zaiem; Youcef Kemiche; Titouan Parcollet; Slim Essid; Mirco Ravanelli (Comput. Speech Lang., 2025)

Towards Early Prediction of Self-Supervised Speech Model Performance. - Ryan Whetten; Lucas Maison; Titouan Parcollet; Marco Dinarelli; Yannick Estève (CoRR, 2025)

Benchmarking Rotary Position Embeddings for Automatic Speech Recognition. - Shucong Zhang; Titouan Parcollet; Rogier van Dalen; Sourav Bhattacharya (CoRR, 2025)

Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use. - Titouan Parcollet; Yuan Tseng; Shucong Zhang; Rogier van Dalen (CoRR, 2025)

Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition. - Yuan Tseng; Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (CoRR, 2025)

Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes. - Rogier C. van Dalen; Shucong Zhang; Titouan Parcollet; Sourav Bhattacharya (CoRR, 2025)