標題: | Signal bias removal with orthogonal transform for adverse Mandarin speech recognition |
作者: | Wang, WJ Chen, SH 電信工程研究所 Institute of Communications Engineering |
公開日期: | 27-四月-2000 |
摘要: | A new method for applying orthogonal transforms in signal bias removal (SBR) for adverse Mandarin speech recognition (MSR) is proposed. The orthogonal transform process is performed in a moving window manner to extract features from the input speech. Codewords are then obtained by matching high-order, bias-free features with pre-trained codebooks for bias estimation. The effectiveness of the method has been confirmed by an experiment involving multi-speaker adverse continuous MSR. Significant improvements in the recognition accuracy and computation time were achieved as compared with the conventional SBR method. |
URI: | http://dx.doi.org/10.1049/el:20000622 http://hdl.handle.net/11536/30570 |
ISSN: | 0013-5194 |
DOI: | 10.1049/el:20000622 |
期刊: | ELECTRONICS LETTERS |
Volume: | 36 |
Issue: | 9 |
起始頁: | 851 |
結束頁: | 852 |
顯示於類別: | 期刊論文 |