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ToolsMilner, Ben and Vaseghi, Saeed V. (1995) An analysis of cepstral-time feature matrices for noise and channel robust speech recognition. In: Proc. 4th European Conference on Speech Communication and Technology. UNSPECIFIED.
Full text not available from this repository. (Request a copy)Abstract
This paper presents an analysis of the cepstral-time matrix. The coefficients of the cepstral-time matrix are found to be similar to the standard cepstral vector with differential features augmented on. It is also shown that the cepstral-time matrix is inherently robust to convolutional channel distortion. Spectral-subtraction, Wiener filtering and model combination are extended into two-dimensions where improved noise robustness is achieved. Experimental results using the NOISEX database with noise and channel distorted speech are presented.,
| Item Type: | Book Section |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Smart Emerging Technologies |
| Depositing User: | LivePure Connector |
| Date Deposited: | 09 Jan 2024 01:20 |
| Last Modified: | 09 Jan 2024 01:20 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/94106 |
| DOI: | 10.21437/Eurospeech.1995-138 |
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