Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR-Reference-Cited by-同舟云学术

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Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR

Published:2024-04-14 Issue: Volume: Page:10841-10845
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Bai Junwen¹,Li Bo¹,Li Qiujia¹,Sainath Tara N.¹,Strohman Trevor¹

Affiliation:

1. Google,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447399.pdf?arnumber=10447399

Reference38 articles.

1. Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters

2. Scaling End-to-End Models for Large-Scale Multilingual ASR

3. XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

4. Massively Multilingual ASR: A Lifelong Learning Solution

5. Google USM: Scaling automatic speech recognition beyond 100 languages;Zhang,2023

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