DocumentCode
454752
Title
Word Independent Model for Syllable Stress Evaluation
Author
Verma, Ashish ; Lal, Kunal ; Lo, Yuen Yee ; Basak, Jayanta
Author_Institution
IBM India Res. Lab
Volume
1
fYear
2006
fDate
14-19 May 2006
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
Keywords
signal classification; speech processing; classifiers; human labeled word utterances; spoken English; syllable stress evaluation; syllable stress pattern; word independent model; word-dependent models; Humans; Loudspeakers; Mel frequency cepstral coefficient; Natural languages; Neural networks; Performance analysis; Predictive models; Speech synthesis; Stress; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location
Toulouse
ISSN
1520-6149
Print_ISBN
1-4244-0469-X
Type
conf
DOI
10.1109/ICASSP.2006.1660251
Filename
1660251
Link To Document