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CSL
2004
Springer
13 years 7 months ago
Contemporaneous text as side-information in statistical language modeling
We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...
Sanjeev Khudanpur, Woosung Kim
NIPS
2001
13 years 9 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
INTERSPEECH
2010
13 years 2 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
2010
IEEE
13 years 7 months ago
Optimizing spectral subtraction and wiener filtering for robust speech recognition in reverberant and noisy conditions
Speech enhancement is a common approach to address the effects of degradation due to noise and channel contamination. This approach is intended to suppress unwanted signal and rec...
Randy Gomez, Tatsuya Kawahara
JCIT
2008
124views more  JCIT 2008»
13 years 7 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das