Sciweavers

239 search results - page 3 / 48
» Lithuanian Speech Recognition Using the English Recognizer
Sort
View
ACL
2011
12 years 9 months ago
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid...
Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya...
COLING
2000
13 years 7 months ago
MT and Topic-Based Techniques to Enhance Speech Recognition Systems for Professional Translators
Our principle objective was to reduce the error rate of speech recognition systems used by professional translators. Our work concentrated on Spanish-to-English translation. In a ...
Yevgeny Ludovik, Ron Zacharski
ICASSP
2009
IEEE
14 years 15 days ago
The use of acoustically detected filled and silent pauses in spontaneous speech recognition
In recognizing spontaneous speech, the performance of typical speech recognizers tends to be degraded by filled and silent pauses, which are hesitation phenomena frequently occur...
Jun Ogata, Masataka Goto, Katunobu Itou
ICPR
2006
IEEE
14 years 6 months ago
A Hybrid HMM-Based Speech Recognizer Using Kernel-Based Discriminants as Acoustic Models
In this paper we propose a novel order-recursive training algorithm for kernel-based discriminants which is computationally efficient. We integrate this method in a hybrid HMM-bas...
Edin Andelic, Marcel Katz, Martin Schafföner,...
SPEECH
2010
89views more  SPEECH 2010»
13 years 15 days ago
Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
Despite years of speech recognition research, little is known about which words tend to be misrecognized and why. Previous work has shown that errors increase for infrequent words...
Sharon Goldwater, Daniel Jurafsky, Christopher D. ...