Improving Massively Multilingual ASR with Auxiliary CTC Objectives

Author:

Chen William1,Yan Brian1,Shi Jiatong1,Peng Yifan1,Maiti Soumi1,Watanabe Shinji1

Affiliation:

1. Carnegie Mellon University,Language Technologies Institute,USA

Publisher

IEEE

Reference49 articles.

1. Unsupervised Cross-Lingual Representation Learning for Speech Recognition;conneau;Proc INTERSPEECH,2021

2. Universal phone recognition with a multilingual allophone system;li;Proc ICASSP,2020

3. Differentiable Allophone Graphs for Language-Universal Speech Recognition

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

5. Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning

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3. Train Long and Test Long:Leveraging Full Document Contexts in Speech Processing;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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5. Joint Prediction and Denoising for Large-Scale Multilingual Self-Supervised Learning;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

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