Compensation for Nonlinear Distortion in Noise for Robust Speech Recognition
The performance, reliability, and ubiquity of automatic speech recognition systems has flourished in recent years due to steadily increasing computational power and technological innovations such as hidden Markov models, weighted finite-state transducers, and deep learning methods. One problem which...
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| Format: | Others |
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Research Showcase @ CMU
2014
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| Online Access: | http://repository.cmu.edu/dissertations/437 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1437&context=dissertations |