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Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech
Recognition Models

Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

15 March 2023

Steven M. Hernandez

Ding Zhao

Rohit Prabhavalkar

Tara N. Sainath

ArXiv (abs)PDF HTML

Papers citing "Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models"

5 / 5 papers shown

Unfolding A Few Structures for The Many: Memory-Efficient Compression of Conformer and Speech Foundation Models

Unfolding A Few Structures for The Many: Memory-Efficient Compression of Conformer and Speech Foundation Models

199

0

0

27 May 2025

Full-Rank No More: Low-Rank Weight Training for Modern Speech
Recognition Models

Full-Rank No More: Low-Rank Weight Training for Modern Speech Recognition ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024

Adriana Fernandez-Lopez

Stavros Petridis

Maja Pantic

199

2

0

10 Oct 2024

Speaker Adaptation for Quantised End-to-End ASR Models

Speaker Adaptation for Quantised End-to-End ASR Models

Chao Zhang

Thomas Fang Zheng

179

2

0

07 Aug 2024

ResidualTransformer: Residual Low-Rank Learning with Weight-Sharing for
Transformer Layers

ResidualTransformer: Residual Low-Rank Learning with Weight-Sharing for Transformer LayersIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

195

11

0

03 Oct 2023

Enhancing Quantised End-to-End ASR Models via Personalisation

Enhancing Quantised End-to-End ASR Models via PersonalisationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

Guangzhi Sun

Mingxing Xu

Thomas Fang Zheng

171

4

0

17 Sep 2023