Titouan Parcollet

research

∙ 09/11/2023

LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech

Self-supervised learning (SSL) is at the origin of unprecedented improve...

0 Titouan Parcollet, et al. ∙

research

∙ 08/28/2023

Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads

Self-supervised learning (SSL) leverages large datasets of unlabeled spe...

0 Salah Zaiem, et al. ∙

research

∙ 07/12/2023

Sumformer: A Linear-Complexity Alternative to Self-Attention for Speech Recognition

Modern speech recognition systems rely on self-attention. Unfortunately,...

0 Titouan Parcollet, et al. ∙

research

∙ 06/29/2023

Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data

We propose a method for speech-to-speech emotionpreserving translation t...

0 Jarod Duret, et al. ∙

research

∙ 06/01/2023

Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations

Self-Supervised Learning (SSL) has allowed leveraging large amounts of u...

1 Salah Zaiem, et al. ∙

research

∙ 06/01/2023

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

Self-supervised learning (SSL) has recently allowed leveraging large dat...

6 Salah Zaiem, et al. ∙

research

∙ 05/29/2023

HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition

State-of-the-art ASR systems have achieved promising results by modeling...

29 Florian Mai, et al. ∙

research

∙ 03/12/2023

Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study

Self-supervised learning (SSL) has allowed substantial progress in Autom...

0 Salah Zaiem, et al. ∙

research

∙ 02/16/2023

Stabilising and accelerating light gated recurrent units for automatic speech recognition

The light gated recurrent units (Li-GRU) is well-known for achieving imp...

8 Adel Moumen, et al. ∙

research

∙ 09/30/2022

Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio

Self-supervised learning (SSL) has proven vital in speech and audio-rela...

11 Yan Gao, et al. ∙

research

∙ 08/04/2022

ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

When the available hardware cannot meet the memory and compute requireme...

7 Xinchi Qiu, et al. ∙

research

∙ 04/08/2022

Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning

Contrastive learning enables learning useful audio and speech representa...

9 Salah Zaiem, et al. ∙

research

∙ 04/06/2022

Federated Self-supervised Speech Representations: Are We There Yet?

The ubiquity of microphone-enabled devices has lead to large amounts of ...

5 Yan Gao, et al. ∙

research

∙ 04/02/2022

End-to-end model for named entity recognition from speech without paired training data

Recent works showed that end-to-end neural approaches tend to become ver...

12 Salima Mdhaffar, et al. ∙

research

∙ 07/01/2021

Pretext Tasks selection for multitask self-supervised speech representation learning

Through solving pretext tasks, self-supervised learning leverages unlabe...

2 Salah Zaiem, et al. ∙

research

∙ 06/08/2021

SpeechBrain: A General-Purpose Speech Toolkit

SpeechBrain is an open-source and all-in-one speech toolkit. It is desig...

8 Mirco Ravanelli, et al. ∙

research

∙ 04/29/2021

End-to-End Speech Recognition from Federated Acoustic Models

Training Automatic Speech Recognition (ASR) models under federated learn...

0 Yan Gao, et al. ∙

research

∙ 04/23/2021

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

Self-Supervised Learning (SSL) using huge unlabeled data has been succes...

0 Solene Evain, et al. ∙

research

∙ 04/15/2021

Conditional independence for pretext task selection in Self-supervised speech representation learning

Through solving pretext tasks, self-supervised learning (SSL) leverages ...

6 Salah Zaiem, et al. ∙

research

∙ 04/07/2021

On-device Federated Learning with Flower

Federated Learning (FL) allows edge devices to collaboratively learn a s...

18 Akhil Mathur, et al. ∙

research

∙ 04/04/2021

Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers

This paper introduces Timers and Such, a new open source dataset of spok...

8 Loren Lugosch, et al. ∙

research

∙ 12/08/2020

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation

With the increasing interest over speech technologies, numerous Automati...

0 Paul-Gauthier Noé, et al. ∙

research

∙ 07/28/2020

Flower: A Friendly Federated Learning Research Framework

Federated Learning (FL) has emerged as a promising technique for edge de...

172 Daniel J. Beutel, et al. ∙

research

∙ 05/19/2020

Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition

Knowledge distillation has been widely used to compress existing deep le...

0 Yan Gao, et al. ∙

research

∙ 05/18/2020

Quaternion Neural Networks for Multi-channel Distant Speech Recognition

Despite the significant progress in automatic speech recognition (ASR), ...

0 Xinchi Qiu, et al. ∙

research

∙ 02/11/2020

CGCNN: Complex Gabor Convolutional Neural Network on raw speech

Convolutional Neural Networks (CNN) have been used in Automatic Speech R...

0 Paul-Gauthier Noé, et al. ∙

research

∙ 06/17/2019

Real to H-space Encoder for Speech Recognition

Deep neural networks (DNNs) and more precisely recurrent neural networks...

0 Titouan Parcollet, et al. ∙

research

∙ 04/13/2019

M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding

Deep learning is at the core of recent spoken language understanding (SL...

0 Titouan Parcollet, et al. ∙

research

∙ 11/21/2018

Speech recognition with quaternion neural networks

Neural network architectures are at the core of powerful automatic speec...

0 Titouan Parcollet, et al. ∙

research

∙ 11/19/2018

The PyTorch-Kaldi Speech Recognition Toolkit

The availability of open-source software is playing a remarkable role in...

0 Mirco Ravanelli, et al. ∙

research

∙ 11/06/2018

Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition

Recurrent neural networks (RNN) are at the core of modern automatic spee...

0 Titouan Parcollet, et al. ∙

research

∙ 10/31/2018

Quaternion Convolutional Neural Networks for Heterogeneous Image Processing

Convolutional neural networks (CNN) have recently achieved state-of-the-...

1 Titouan Parcollet, et al. ∙

research

∙ 06/20/2018

Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition

Recently, the connectionist temporal classification (CTC) model coupled ...

2 Titouan Parcollet, et al. ∙

research

∙ 06/12/2018

Quaternion Recurrent Neural Networks

Recurrent neural networks (RNNs) are powerful architectures to model seq...

0 Titouan Parcollet, et al. ∙

Titouan Parcollet

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