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» The limits of speech recognition
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ICASSP
2011
IEEE
13 years 15 days ago
Gammatone sub-band magnitude-domain dereverberation for ASR
We present an algorithm for dereverberation of speech signals for automatic speech recognition (ASR) applications. Often ASR systems are presented with speech that has been record...
Kshitiz Kumar, Rita Singh, Bhiksha Raj, Richard M....
ACL
2004
13 years 10 months ago
Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems
We use machine learners trained on a combination of acoustic confidence and pragmatic plausibility features computed from dialogue context to predict the accuracy of incoming n-be...
Malte Gabsdil, Oliver Lemon
SPEECH
2010
89views more  SPEECH 2010»
13 years 3 months 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. ...
ICASSP
2009
IEEE
14 years 3 months ago
Affine invariant features and their application to speech recognition
This paper proposes a set of affine invariant features (AIFs) for sequence data. The proposed AIFs can be calculated directly from the sequence data, and their invariance to af...
Yu Qiao, Masayuki Suzuki, Nobuaki Minematsu
COLING
1992
13 years 10 months ago
Construction Of Corpus-Based Syntactic Rules For Accurate Speech Recognition
This paper describes the syntactic rules which are applied in the Japanese speech recognition module of a speech-to-speech translation system. Japanese is considered to be a free ...
Junko Hosaka, Toshiyuki Takezawa