Promising Accurate Prefix Boosting for Sequence-to-sequence ASR
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8671773/8682151/08682782.pdf?arnumber=8682782
Cited by 5 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. End-to-End Speech Recognition: A Survey;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
2. On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models;2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2021-12-13
3. Deep-Sync: A novel deep learning-based tool for semantic-aware subtitling synchronisation;Neural Computing and Applications;2021-02-08
4. Multi-Granularity Sequence Alignment Mapping for Encoder-Decoder Based End-to-End ASR;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2021
5. Semi-Supervised End-to-End ASR via Teacher-Student Learning with Conditional Posterior Distribution;Interspeech 2020;2020-10-25
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