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» Polyphase speech recognition
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142
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DAC
2005
ACM
16 years 4 months ago
Hardware speech recognition for user interfaces in low cost, low power devices
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constrained devices. The system is intended to support real-time speech-based user in...
Sergiu Nedevschi, Rabin K. Patra, Eric A. Brewer
128
Voted
TSD
2004
Springer
15 years 9 months ago
Dynamic Unit Selection for Very Low Bit Rate Coding at 500 bits/sec
This paper presents a new unit selection process for Very Low Bit Rate speech encoding around 500 bits/sec. The encoding is based on speech recognition and speech synthesis technol...
Marc Padellini, François Capman, Genevi&egr...
154
Voted
ICASSP
2011
IEEE
14 years 7 months 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....
142
Voted
ACL
2004
15 years 5 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
128
Voted
SPEECH
2010
89views more  SPEECH 2010»
14 years 10 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. ...