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» Canonical state models for automatic speech recognition
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INTERSPEECH
2010
13 years 1 months ago
Exploring recognition network representations for efficient speech inference on highly parallel platforms
The emergence of highly parallel computing platforms is enabling new trade-offs in algorithm design for automatic speech recognition. It naturally motivates the following investig...
Jike Chong, Ekaterina Gonina, Kisun You, Kurt Keut...
ACL
2008
13 years 7 months ago
Arabic Language Modeling with Finite State Transducers
In morphologically rich languages such as Arabic, the abundance of word forms resulting from increased morpheme combinations is significantly greater than for languages with fewer...
Ilana Heintz
ICASSP
2009
IEEE
14 years 1 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
SPEECH
2008
142views more  SPEECH 2008»
13 years 6 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
2009
IEEE
14 years 1 months ago
A study on multilingual acoustic modeling for large vocabulary ASR
We study key issues related to multilingual acoustic modeling for automatic speech recognition (ASR) through a series of large-scale ASR experiments. Our study explores shared str...
Hui Lin, Li Deng, Dong Yu, Yifan Gong, Alex Acero,...