A New Evidence Model for Missing Data Speech Recognition With Applications in Reverberant Multi-Source Environments
Conventional hidden Markov model (HMM) decoders often experience severe performance degradations in practice due to their inability to cope with uncertain data in time-varying environments. In order to address this issue, we propose the bounded-Gauss-Uniform mixture probablity density function (pdf)...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
IEEE Signal Processing Society
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/36504 |