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ACL
2012
8 years 24 days ago
Probabilistic Integration of Partial Lexical Information for Noise Robust Haptic Voice Recognition
This paper presents a probabilistic framework that combines multiple knowledge sources for Haptic Voice Recognition (HVR), a multimodal input method designed to provide efficient...
Khe Chai Sim
ACL
2011
9 years 2 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...
INTERSPEECH
2010
9 years 5 months ago
On-the-fly lattice rescoring for real-time automatic speech recognition
This paper presents a method for rescoring the speech recognition lattices on-the-fly to increase the word accuracy while preserving low latency of a real-time speech recognition ...
Hasim Sak, Murat Saraclar, Tunga Güngör
CAI
2010
Springer
9 years 5 months ago
A Comparison of Decision Tree Classifiers for Automatic Diagnosis of Speech Recognition Errors
Present speech recognition systems are becoming more complex due to technology advances, optimizations and special requirements such as small computation and memory footprints. Pro...
Milos Cernak
ICASSP
2010
IEEE
9 years 8 months ago
Clap your hands! Calibrating spectral subtraction for dereverberation
Reverberation effects as observed by room microphones severely degrade the performance of automatic speech recognition systems. We investigate the use of dereverberation by spectr...
Uwe Zah, Korbinian Riedhammer, Tobias Bocklet, Elm...
SPEECH
2008
142views more  SPEECH 2008»
9 years 10 months ago
Combined speech enhancement and auditory modelling for robust distributed speech recognition
The performance of automatic speech recognition (ASR) systems in the presence of noise is an area that has attracted a lot of research interest. Additive noise from interfering no...
Ronan Flynn, Edward Jones
ICASSP
2010
IEEE
9 years 10 months ago
Approaches to automatic lexicon learning with limited training examples
Preparation of a lexicon for speech recognition systems can be a significant effort in languages where the written form is not exactly phonetic. On the other hand, in languages w...
Nagendra Goel, Samuel Thomas, Mohit Agarwal, Pinar...
COLING
1996
9 years 11 months ago
Modeling Topic Coherence for Speech Recognition
Statistical language models play a major role in current speech recognition systems. Most of these models have focussed on relatively local interactions between words. Recently, h...
Satoshi Sekine
COLING
2000
9 years 11 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
ACL
1998
9 years 11 months ago
Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue
Miscommunication in speech recognition systems is unavoidable, but a detailed characterization of user corrections will enable speech systems to identify when a correction is taki...
Gina-Anne Levow
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