https://scholars.lib.ntu.edu.tw/handle/123456789/152026
標題: | An initial study on a segmental probability model approach to large-vocabulary continuous Mandarin speech recognition | 作者: | Shen, Jia-Lin Wang, Hsin-Min Bai, Bo-Ren LIN-SHAN LEE |
公開日期: | 四月-1994 | 卷: | 2 | 起(迄)頁: | II133 - II136 | 來源出版物: | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 會議論文: | Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6) | 摘要: | This paper presents an initial study to perform Iarge-vocabuIary continuous Mandarin speech recognition based on a Segmental Probability Model(SPM) approach. SPM was first proposed for recognition of isolated Mandarin syllables, in which every syllable must be equally segmented before recognition. Therefore, A concatenated syllable matching algorithm in place of the conventional Viterbi search algorithm is therefore introduced t o perform the recognition process based on SPM. In addition, a training procedure is also proposed to reestimate the SPM parameters for continuous speech. Preliminary simulation results indicate that significant improvements in both recognition rates and speed can be achieved as compared to the conventional HMM-based Viterbi search approaches. © 1994 IEEE |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/2007041910032488 https://www.scopus.com/inward/record.uri?eid=2-s2.0-0344493149&doi=10.1109%2fICASSP.1994.389701&partnerID=40&md5=23dd7c9d0243d86b2347cf0aae1783a7 |
ISSN: | 15206149 | 其他識別: | N/A | DOI: | 10.1109/ICASSP.1994.389701 | SDG/關鍵字: | Signal processing; Viterbi algorithm; Continuous speech; Mandarin speech recognition; Mandarin syllable; Matching algorithm; Recognition process; Segmental probability model; Training procedures; Viterbi search algorithms; Speech recognition |
顯示於: | 電機工程學系 |
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00389701.pdf | 312.56 kB | Adobe PDF | 檢視/開啟 |
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