Semi-Supervised Speech Recognition Via Graph-Based Temporal Classification

Author:

Moritz Niko,Hori Takaaki,Roux Jonathan Le

Publisher

IEEE

Cited by 19 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. Partitioning Attention Weight: Mitigating Adverse Effect of Incorrect Pseudo-Labels for Self-Supervised ASR;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Intermpl: Momentum Pseudo-Labeling With Intermediate CTC Loss;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. Powerful and Extensible WFST Framework for Rnn-Transducer Losses;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications;Journal of Big Data;2023-04-14

5. An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

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