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Error Heuristic Based Text-Only Error Correction Method for Automatic Speech Recognition

  • Linhan Zhang*
  • , Tieran Zheng
  • , Jiabin Xue
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the fast development of deep learning, automatic speech recognition (ASR) has achieved significant improvement. However, there still exists some errors in ASR transcriptions. They will greatly interfere with the downstream tasks, which take the transcribed text as source data. Obviously, it is necessary to set a corrector to reduce errors in the ASR transcriptions. For various downstream tasks, a text-only based corrector would be more adorable because of its minimal requirements for recognizer. However, the limitation of ASR decoding information exerts considerable influence on the performance of corrector. Correcting a correctly recognized word into a wrong one is one of the most common problems. To relieve this situation, we propose to adopt error knowledge from an error detection model as a heuristic to train a sequence-to-sequence (Seq2seq) correction model by transfer learning. In this way, the corrector can focus on correcting the wrong words with a soft label. The experiment shows our method can effectively correct ASR errors, with a 4.35% word error rate (WER) reduction for the transcription. It outperforms the state of the art Seq2seq baseline with a 1.27% WER reduction.

Original languageEnglish
Title of host publicationNeural Information Processing - 27th International Conference, ICONIP 2020, Proceedings
EditorsHaiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King
PublisherSpringer Science and Business Media Deutschland GmbH
Pages743-753
Number of pages11
ISBN (Print)9783030638290
DOIs
StatePublished - 2020
Externally publishedYes
Event27th International Conference on Neural Information Processing, ICONIP 2020 - Bangkok, Thailand
Duration: 18 Nov 202022 Nov 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12532 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference27th International Conference on Neural Information Processing, ICONIP 2020
Country/TerritoryThailand
CityBangkok
Period18/11/2022/11/20

Keywords

  • ASR error correction
  • ASR error detection
  • Error heuristic
  • Transfer learning

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