Prosodic word-based error correction in speech recognition using prosodic word expansion and contextual information

Chao Hong Liu, Chung Hsien Wu

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

In this study, considering the effect of phrase grouping in spontaneous speech, prosodic words, instead of lexical words, are adopted as the units for error correction of speech recognition results. The prosodic words and the corresponding mis-recognized word fragments are obtained from a speech database to construct a mis-recognized word fragment table for the extracted prosodic words. For each word fragment in a recognized word sequence, the potential prosodic words which are likely to be misrecognized as input word fragments are retrieved from the table for prosodic word candidate expansion. The prosodic word-based contextual information, considering substitution and concatenation scores, is then employed into a probabilistic model to find the best word fragment sequence as the corrected output. Experimental results show that the proposed method achieved a 0.32 F 1 score, with improvements of 0.18 and 0.10 compared to the SMT-based and lexical word-based approaches, respectively.

Original languageEnglish
Pages1385-1388
Number of pages4
Publication statusPublished - 2010 Dec 1
Event11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010 - Makuhari, Chiba, Japan
Duration: 2010 Sep 262010 Sep 30

Other

Other11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010
CountryJapan
CityMakuhari, Chiba
Period10-09-2610-09-30

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Speech and Hearing

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