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


文件中的檔案:

  1. 000087034400052.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。