TY  - BOOK
AU  - Sarma,Mousmita
AU  - Sarma,Kandarpa Kumar
ED  - SpringerLink (Online service)
TI  - Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
T2  - Studies in Computational Intelligence,
SN  - 9788132218623
AV  - Q342 
U1  - 006.3 23
PY  - 2014///
CY  - New Delhi
PB  - Springer India, Imprint: Springer
KW  - Engineering
KW  - Computer software
KW  - Computational Intelligence
KW  - Signal, Image and Speech Processing
KW  - Algorithm Analysis and Problem Complexity
N1  - Part 1 (Background): Introduction -- Speech Processing Technology-Basic Consideration -- Fundamental Considerations of ANN -- Sounds of Assamese Language -- State of Research of Speech Recognition -- Part 2 (Design Aspects): Phoneme Segmentation Technique using Self Organizing Map (SOM) -- Application of Proposed Phoneme Segmentation Technique in Spoken Word Recognition -- Application of Clustering Techniques to Generate A Priori Knowledge for Spoken Word Recognition -- Application of Proposed Phoneme Segmentation Technique in Speaker Identification -- Conclusion
N2  - The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems
UR  - http://dx.doi.org/10.1007/978-81-322-1862-3
ER  -