| Paper: | SLP-P3.10 | ||
| Session: | Novel LVCSR Algorithms | ||
| Time: | Tuesday, May 16, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Decoding algorithms and implementation | ||
| Title: | One-pass Coarse-to-Fine Segmental Speech Decoding Algorithm | ||
| Authors: | Yun Tang, Wen-Ju Liu, Hua Zhang, Bo Xu, Chinese Academy of Sciences, China; Guo-Hong Ding, Nokia Research Center, Beijing, China | ||
| Abstract: | In this paper, a novel one-pass coarse-to-fine decoding algorithm is proposed to accelerate the speed of Segment Model (SM). The algorithm is originated from the segmentation similarity observation described in the paper and specific for the SM based speech recognition. A coarse search is first implemented to get coarse segmentations and then a fine search is performed based on the derived segmentation information at each step. This fast algorithm is successfully integrated into an SM based Mandarin LVCSR system and saves more than 50% decoding time without obvious influence on the recognition accuracy. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012