Technical Program

Paper Detail

Paper:SP-P13.11
Session:General Topics in Robust Speech Recognition
Time:Thursday, May 20, 13:00 - 15:00
Presentation: Poster
Topic: Speech Processing: Robust Speech Recognition
Title: FUSION BASED SPEECH SEGMENTATION IN DARPA SPINE2 TASK
Authors: Chengyi Zheng; OGI School of Science & Engineering 
 Yonghong Yan; OGI School of Science & Engineering 
Abstract: We report a new fusion based segmentation approach using multiplefilter bank coefficients. This new approach takes advantage ofcurrent feature extraction procedure, with little additionalcomputation cost. Another level of fusion was performed bycombining several segmentation systems. Evaluation was conductedon the second SPeech In Noisy Environments (SPINE2) task.Experiments show our fusion based approaches significantly reducedthe WER compare to two classifier-based approaches. Compare to themanual segmentation, our approach only has 0.3\% WER increase.
 
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