Confidence measures for speech recognition: A survey

Author:

Jiang Hui

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Cited by 186 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. Correction Focused Language Model Training For Speech Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Trends and developments in automatic speech recognition research;Computer Speech & Language;2024-01

3. NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning;INTERSPEECH 2023;2023-08-20

4. A Reference-Less Quality Metric for Automatic Speech Recognition Via Contrastive-Learning of A Multi-Language Model with Self-Supervision;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

5. Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-to-End Automatic Speech Recognition;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

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