Exploiting un-transcribed foreign data for speech recognition in well-resourced languages
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/6844297/6853544/06854014.pdf?arnumber=6854014
Cited by 14 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. How Does Pre-Trained Wav2Vec 2.0 Perform on Domain-Shifted Asr? an Extensive Benchmark on Air Traffic Control Communications;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09
2. Speech Activity Detection Based on Multilingual Speech Recognition System;Interspeech 2021;2021-08-30
3. Multitask Adaptation with Lattice-Free MMI for Multi-Genre Speech Recognition of Low Resource Languages;Interspeech 2021;2021-08-30
4. Contextual Semi-Supervised Learning: An Approach to Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems;Interspeech 2021;2021-08-30
5. Low Resource German ASR with Untranscribed Data Spoken by Non-Native Children — INTERSPEECH 2021 Shared Task SPAPL System;Interspeech 2021;2021-08-30
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