Titouan Parcollet
Orcid: 0000-0003-0672-1346
According to our database1,
Titouan Parcollet
authored at least 57 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
J. Mach. Learn. Res., 2023
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech.
CoRR, 2023
Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads.
CoRR, 2023
CoRR, 2023
Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data.
CoRR, 2023
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations.
CoRR, 2023
CoRR, 2023
Fine-Tuning Strategies for Faster Inference Using Speech Self-Supervised Models: A Comparative Study.
Proceedings of the IEEE International Conference on Acoustics, 2023
Stabilising and Accelerating Light Gated Recurrent Units for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
2022
IEEE J. Sel. Top. Signal Process., 2022
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio.
CoRR, 2022
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning.
Proceedings of the Interspeech 2022, 2022
End-to-end model for named entity recognition from speech without paired training data.
Proceedings of the Interspeech 2022, 2022
Proceedings of the Interspeech 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Pretext Tasks selection for multitask self-supervised speech representation learning.
CoRR, 2021
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech.
CoRR, 2021
Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
<i>LeBenchmark</i>: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation.
CoRR, 2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Quaternion neural networks. (Réseaux de neurones fondés sur l'algèbre des quaternions).
PhD thesis, 2019
Proceedings of the Interspeech 2019, 2019
M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech Understanding.
Proceedings of the Interspeech 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Bidirectional Quaternion Long Short-term Memory Recurrent Neural Networks for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Réseaux de neurones convolutifs de quaternions pour l'identification de thèmes de conversations téléphoniques.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2019
2018
Quaternion Convolutional Neural Networks For Theme Identification Of Telephone Conversations.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition.
Proceedings of the Interspeech 2018, 2018
2017
Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations.
Proceedings of the Interspeech 2017, 2017
Proceedings of the COnférence en Recherche d'Informations et Applications, 2017
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017
2016
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016