Joint Unsupervised and Supervised Training for Multilingual ASR

Author:

Bai Junwen1,Li Bo1,Zhang Yu1,Bapna Ankur1,Siddhartha Nikhil1,Chai Sim Khe1,Sainath Tara N.1

Affiliation:

1. Google,USA

Publisher

IEEE

Reference28 articles.

1. Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting

2. Continual-wav2vec2: an application of continual learning for self-supervised automatic speech recognition;kessler,2021

3. MLS: A Large-Scale Multilingual Dataset for Speech Research

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

5. Cross-lingual language model pretraining;conneau;Advances in neural information processing systems,2019

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1. FastInject: Injecting Unpaired Text Data into CTC-Based ASR Training;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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4. Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Accent-Specific Vector Quantization for Joint Unsupervised and Supervised Training in Accent Robust Speech Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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