|
For Full-Text PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
|
Selected Topics from LVCSR Research for Asian Languages at Tokyo Tech
Sadaoki FURUI
Publication
IEICE TRANSACTIONS on Information and Systems
Vol.E95-D
No.5
pp.1182-1194 Publication Date: 2012/05/01 Online ISSN: 1745-1361
DOI: 10.1587/transinf.E95.D.1182 Print ISSN: 0916-8532 Type of Manuscript: Special Section PAPER (Special Section on Recent Advances in Multimedia Signal Processing Techniques and Applications) Category: Speech Processing Keyword: automatic speech recognition, LVCSR, Asian languages, spoken query,
Full Text: PDF(744.5KB)>>
Summary:
This paper presents our recent work in regard to building Large Vocabulary Continuous Speech Recognition (LVCSR) systems for the Thai, Indonesian, and Chinese languages. For Thai, since there is no word boundary in the written form, we have proposed a new method for automatically creating word-like units from a text corpus, and applied topic and speaking style adaptation to the language model to recognize spoken-style utterances. For Indonesian, we have applied proper noun-specific adaptation to acoustic modeling, and rule-based English-to-Indonesian phoneme mapping to solve the problem of large variation in proper noun and English word pronunciation in a spoken-query information retrieval system. In spoken Chinese, long organization names are frequently abbreviated, and abbreviated utterances cannot be recognized if the abbreviations are not included in the dictionary. We have proposed a new method for automatically generating Chinese abbreviations, and by expanding the vocabulary using the generated abbreviations, we have significantly improved the performance of spoken query-based search.
|
open access publishing via
|
|
|
|
|
|
|
|