Massively Multilingual Shallow Fusion with Large Language Models

Author:

Hu Ke1,Sainath Tara N.1,Li Bo1,Du Nan1,Huang Yanping1,Dai Andrew M.1,Zhang Yu1,Cabrera Rodrigo1,Chen Zhifeng1,Strohman Trevor1

Affiliation:

1. Google LLC,USA

Publisher

IEEE

Reference38 articles.

1. MAESTRO: Matched Speech Text Representations through Modality Matching

2. Towards Reducing the Need for Speech Training Data to Build Spoken Language Understanding Systems

3. Adafactor: Adaptive learning rates with sublinear memory cost;shazeer;International Conference on Machine Learning,2018

4. An Efficient Streaming NonRecurrent On-Device End-to-End Model with Improvements to Rare- Word Modeling;sainath;Proc INTERSPEECH,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving Multilingual and Code-Switching ASR Using Large Language Model Generated Text;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

2. Streaming End-to-End ASR Using CTC Decoder and DRA for Linguistic Information Substitution;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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