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20182023
most citedSpeechBrain: A General-Purpose Speech Toolkit

514 citations · 516 across the 6 of their papers we have counts for

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cs.CL2023

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

Titouan Parcollet, Ha Nguyen, Solene Evain +19

Self-supervised learning (SSL) is at the origin of unprecedented improvements in many different domains including computer vision and natural language processing. Speech processing…

cs.CL2023

SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding

Titouan Parcollet, Rogier van Dalen, Shucong Zhang +1

Modern speech processing systems rely on self-attention. Unfortunately, token mixing with self-attention takes quadratic time in the length of the speech utterance, slowing down in…

cs.CL20231 cited

HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition

Florian Mai, Juan Zuluaga-Gomez, Titouan Parcollet +1

State-of-the-art ASR systems have achieved promising results by modeling local and global interactions separately. While the former can be computed efficiently, global interactions…

cs.CL2022

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

Salima Mdhaffar, Jarod Duret, Titouan Parcollet +1

Recent works showed that end-to-end neural approaches tend to become very popular for spoken language understanding (SLU). Through the term end-to-end, one considers the use of a s…

cs.CL2021

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

Loren Lugosch, Piyush Papreja, Mirco Ravanelli +2

This paper introduces Timers and Such, a new open source dataset of spoken English commands for common voice control use cases involving numbers. We describe the gap in existing sp…

cs.CL2019

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

Titouan Parcollet, Mohamed Morchid, Xavier Bost +1

Deep learning is at the core of recent spoken language understanding (SLU) related tasks. More precisely, deep neural networks (DNNs) drastically increased the performances of SLU…