| Paper: | SLP-P21.9 | ||
| Session: | Speech Detection, Enhancement and Analysis | ||
| Time: | Friday, May 19, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Speech Analysis | ||
| Title: | Word Independent Model for Syllable Stress Evaluation | ||
| Authors: | Ashish Verma, IBM India Research Lab, India; Kunal Lal, Indian Institute of Technology New Delhi, India; Yuen Yee Lo, Jayanta Basak, IBM India Research Lab, India | ||
| Abstract: | Analyzing syllable stress in spoken English has been an area of research for a long time. In this paper, we analyze the performance of a novel method for evaluating syllable stress in spoken English. Specifically, we study the problem of determining if a word is spoken with the correct syllable stress pattern. The proposed method uses generalized models for stressed and unstressed syllables to analyze the constituent syllables of a word and determines if the word is spoken correctly. The performance of the proposed method is reported in terms of classification results on human labeled word utterances and it is compared with that of the word-dependent models using various classifiers. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012