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{ "item_title" : "Privacy-Preserving Machine Learning for Speech Processing", "item_author" : [" Manas A. Pathak "], "item_description" : "Thesis Overview.- Speech Processing Background.- Privacy Background.- Overview of Speaker Verification with Privacy.- Privacy-Preserving Speaker Verification Using Gaussian Mixture Models.- Privacy-Preserving Speaker Verification as String Comparison.- Overview of Speaker Indentification with Privacy.- Privacy-Preserving Speaker Identification Using Gausian Mixture Models.- Privacy-Preserving Speaker Identification as String Comparison.- Overview of Speech Recognition with Privacy.- Privacy-Preserving Isolated-Word Recognition.- Thesis Conclusion.- Future Work.- Differentially Private Gaussian Mixture Models.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/46/144/638/1461446384_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" : "" } }
Privacy-Preserving Machine Learning for Speech Processing|Manas A. Pathak

Privacy-Preserving Machine Learning for Speech Processing

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Overview

Thesis Overview.- Speech Processing Background.- Privacy Background.- Overview of Speaker Verification with Privacy.- Privacy-Preserving Speaker Verification Using Gaussian Mixture Models.- Privacy-Preserving Speaker Verification as String Comparison.- Overview of Speaker Indentification with Privacy.- Privacy-Preserving Speaker Identification Using Gausian Mixture Models.- Privacy-Preserving Speaker Identification as String Comparison.- Overview of Speech Recognition with Privacy.- Privacy-Preserving Isolated-Word Recognition.- Thesis Conclusion.- Future Work.- Differentially Private Gaussian Mixture Models.

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Details

  • ISBN-13: 9781461446385
  • ISBN-10: 1461446384
  • Publisher: Springer
  • Publish Date: October 2012
  • Dimensions: 9.2 x 6.2 x 0.6 inches
  • Shipping Weight: 0.8 pounds
  • Page Count: 142

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