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{ "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/8/13/223/515/8132235150_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework|Mousmita Sarma

Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework

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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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