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EFFUSE: Efficient Self-Supervised Feature Fusion for E2E ASR in Low
  Resource and Multilingual Scenarios

EFFUSE: Efficient Self-Supervised Feature Fusion for E2E ASR in Low Resource and Multilingual Scenarios

5 October 2023
Tejes Srivastava
Jiatong Shi
William Chen
Shinji Watanabe
ArXivPDFHTML

Papers citing "EFFUSE: Efficient Self-Supervised Feature Fusion for E2E ASR in Low Resource and Multilingual Scenarios"

3 / 3 papers shown
Title
Scaling Speech Technology to 1,000+ Languages
Scaling Speech Technology to 1,000+ Languages
Vineel Pratap
Andros Tjandra
Bowen Shi
Paden Tomasello
Arun Babu
...
Yossi Adi
Xiaohui Zhang
Wei-Ning Hsu
Alexis Conneau
Michael Auli
VLM
73
297
0
22 May 2023
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
124
339
0
21 May 2022
Don't speak too fast: The impact of data bias on self-supervised speech
  models
Don't speak too fast: The impact of data bias on self-supervised speech models
Yen Meng
Yi-Hui Chou
Andy T. Liu
Hung-yi Lee
28
24
0
15 Oct 2021
1