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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...
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08/28/2023
Speech Self-Supervised Representations Benchmarking: a Case for Larger Probing Heads
Self-supervised learning (SSL) leverages large datasets of unlabeled spe...
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07/12/2023
Sumformer: A Linear-Complexity Alternative to Self-Attention for Speech Recognition
Modern speech recognition systems rely on self-attention. Unfortunately,...
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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...
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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...
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06/01/2023
Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?
Self-supervised learning (SSL) has recently allowed leveraging large dat...
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05/29/2023
HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition
State-of-the-art ASR systems have achieved promising results by modeling...
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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...
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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...
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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...
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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...
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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...
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04/06/2022
Federated Self-supervised Speech Representations: Are We There Yet?
The ubiquity of microphone-enabled devices has lead to large amounts of ...
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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...
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07/01/2021
Pretext Tasks selection for multitask self-supervised speech representation learning
Through solving pretext tasks, self-supervised learning leverages unlabe...
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06/08/2021
SpeechBrain: A General-Purpose Speech Toolkit
SpeechBrain is an open-source and all-in-one speech toolkit. It is desig...
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04/29/2021
End-to-End Speech Recognition from Federated Acoustic Models
Training Automatic Speech Recognition (ASR) models under federated learn...
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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...
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04/15/2021
Conditional independence for pretext task selection in Self-supervised speech representation learning
Through solving pretext tasks, self-supervised learning (SSL) leverages ...
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04/07/2021
On-device Federated Learning with Flower
Federated Learning (FL) allows edge devices to collaboratively learn a s...
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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...
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12/08/2020
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation
With the increasing interest over speech technologies, numerous Automati...
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07/28/2020
Flower: A Friendly Federated Learning Research Framework
Federated Learning (FL) has emerged as a promising technique for edge de...
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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...
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05/18/2020
Quaternion Neural Networks for Multi-channel Distant Speech Recognition
Despite the significant progress in automatic speech recognition (ASR), ...
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02/11/2020
CGCNN: Complex Gabor Convolutional Neural Network on raw speech
Convolutional Neural Networks (CNN) have been used in Automatic Speech R...
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06/17/2019
Real to H-space Encoder for Speech Recognition
Deep neural networks (DNNs) and more precisely recurrent neural networks...
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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...
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11/21/2018
Speech recognition with quaternion neural networks
Neural network architectures are at the core of powerful automatic speec...
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11/19/2018
The PyTorch-Kaldi Speech Recognition Toolkit
The availability of open-source software is playing a remarkable role in...
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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...
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10/31/2018
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing
Convolutional neural networks (CNN) have recently achieved state-of-the-...
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06/20/2018
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition
Recently, the connectionist temporal classification (CTC) model coupled ...
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06/12/2018
