한국어 음성인식 플랫폼 개발현황 Status Report on the Korean Speech Recognition Platform

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 337
  • Download : 0
This paper reports the current status of development of the Korean speech recognition platform (ECHOS). We implement new modules including ETSI feature extraction, backward search with trigram, and utterance verification. The ETSI feature extraction module is implemented by converting the public software to an object-oriented program. We show that trigram language modeling in the backward search pass reduces the word error rate from 23.5% to 22% on a large vocabulary continuous speech recognition task. We confirm the utterance verification module by examining word graphs with confidence score.
Publisher
대한음성학회
Issue Date
2005-11
Language
KOR
Citation

대한음성학회 추계학술대회, pp.215 - 218

URI
http://hdl.handle.net/10203/152628
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0