Samad, Salina Abdul (2009) Feature Extracting in the Presence of Environmental Noise, using Subband Adaptive Filtering. Industrial Electronic Seminar.
Full text not available from this repository.Abstract
In this work, a new feature extracting method in noisy environments is proposed. The approach is based on subband decomposition of speech signals followed by adaptive filtering in the noisiest subbbands of speech. The speech decomposition is obtained using low complexity octave filter bank, while adaptive filtering is performed using the normalized least mean square algorithm. The performance of the new feature was evaluated for isolated word speech recognition in the presence of a car noise. The proposed method showed higher recognition accuracy than conventional methods in noisy environments.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Diptia dipu Zandra |
| Date Deposited: | 17 Mar 2011 08:03 |
| Last Modified: | 15 Apr 2011 15:10 |
| URI: | http://repo.pens.ac.id/id/eprint/182 |
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