{
"item_title" : "Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework",
"item_author" : [" Mousmita Sarma", "Kandarpa Kumar Sarma "],
"item_description" : "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.",
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Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework
Overview
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.
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Details
- ISBN-13: 9788132235156
- ISBN-10: 8132235150
- Publisher: Springer
- Publish Date: September 2016
- Dimensions: 9.21 x 6.14 x 0.45 inches
- Shipping Weight: 0.67 pounds
- Page Count: 187
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