ASR Error Correction with Dual-Channel Self-Supervised Learning
Author:
Affiliation:
1. State Key Laboratory of Media Convergence and Communication, Communication University of China
2. Samsung Research China – Beijing (SRC-B)
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746763.pdf?arnumber=9746763
Reference20 articles.
1. Entity resolution for noisy ASR transcripts
2. Hierarchical Multi-Stage Word-to-Grapheme Named Entity Corrector for Automatic Speech Recognition
3. Towards a standard evaluation method for grammatical error detection and correction
4. Hanspeller: a unified frame-work for chinese spelling correction;xiong;International Journal of Computational Linguistics & Chinese Language Processing Volume 20 Number 1 June 2015-Special Issue on Chinese as a Foreign Language,2015
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