Imperfect transcript driven speech recognition

  title={Imperfect transcript driven speech recognition},
  author={Benjamin Lecouteux and Georges Linar{\`e}s and Pascal Nocera and Jean-François Bonastre},
In many cases, textual information can be associated to speech signals such as movie subtitles, theater scenarios, broadcast news summaries etc. These informations could be considered as approximated transcripts and correspond rarely to the exact word utterances. The goal of this work is to use this kind of information to improve the performance of an automatic speech recognition (ASR) system. Multiple applications are possible: follow a play with closed caption aligned to the voice signal… CONTINUE READING
Highly Cited
This paper has 46 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
30 Extracted Citations
10 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 30 extracted citations

Similar Papers

Loading similar papers…