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» Data pruning for template-based automatic speech recognition
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INTERSPEECH
2010
12 years 11 months ago
Data pruning for template-based automatic speech recognition
In this paper we describe and analyze a data pruning method in combination with template-based automatic speech recognition. We demonstrate the positive effects of polishing the t...
Dino Seppi, Dirk Van Compernolle
ICASSP
2011
IEEE
12 years 8 months ago
Progress in example based automatic speech recognition
In this paper we present a number of improvements that were recently made to the template based speech recognition system developed at ESAT. Combining these improvements resulted ...
Kris Demuynck, Dino Seppi, Hugo Van hamme, Dirk Va...
ICASSP
2009
IEEE
13 years 11 months ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky
INTERSPEECH
2010
12 years 11 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
ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...