1 citations · 1 across the 8 of their papers we have counts for
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Nufo: A Benchmark for Ewe Automatic Speech Recognition
Christ Kekeli Keli, Steve Sanogo, Patrice Sebastiano +2
Automatic speech recognition (ASR) remains challenging for low-resource languages, where the scarcity of transcribed speech limits the development of accurate systems. This challen…
Ara-Best-RQ: Multi Dialectal Arabic SSL
Haroun Elleuch, Ryan Whetten, Salima Mdhaffar +2
We present Ara-BEST-RQ, a family of self-supervised learning (SSL) models specifically designed for multi-dialectal Arabic speech processing. Leveraging 5,640 hours of crawled Crea…
Polynomial Mixing for Efficient Self-supervised Speech Encoders
Eva Feillet, Ryan Whetten, David Picard +1
State-of-the-art speech-to-text models typically employ Transformer-based encoders that model token dependencies via self-attention mechanisms. However, the quadratic complexity of…
In-domain SSL pre-training and streaming ASR
Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière +6
In this study, we investigate the benefits of domain-specific self-supervised pre-training for both offline and streaming ASR in Air Traffic Control (ATC) environments. We train BE…
Open Implementation and Study of BEST-RQ for Speech Processing
Ryan Whetten, Titouan Parcollet, Marco Dinarelli +1
Self-Supervised Learning (SSL) has proven to be useful in various speech tasks. However, these methods are generally very demanding in terms of data, memory, and computational reso…
Evaluating Automatic Speech Recognition in an Incremental Setting
Ryan Whetten, Mir Tahsin Imtiaz, Casey Kennington
The increasing reliability of automatic speech recognition has proliferated its everyday use. However, for research purposes, it is often unclear which model one should choose for…