menu
{ "item_title" : "Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments", "item_author" : [" Xiao-Lei Zhang "], "item_description" : "Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed discussion of deep learning-based robust speech processing and its applications. The book begins by looking at the basics of deep learning and common deep network models, followed by front-end algorithms for deep learning-based speech denoising, speech detection, single-channel speech enhancement multi-channel speech enhancement, multi-speaker speech separation, and the applications of deep learning-based speech denoising in speaker verification and speech recognition.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/44/324/856/0443248567_b.jpg", "price_data" : { "retail_price" : "190.00", "online_price" : "190.00", "our_price" : "190.00", "club_price" : "190.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments|Xiao-Lei Zhang

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

local_shippingShip to Me
On Order. Usually ships in 2-4 weeks
FREE Shipping for Club Members help

Overview

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed discussion of deep learning-based robust speech processing and its applications. The book begins by looking at the basics of deep learning and common deep network models, followed by front-end algorithms for deep learning-based speech denoising, speech detection, single-channel speech enhancement multi-channel speech enhancement, multi-speaker speech separation, and the applications of deep learning-based speech denoising in speaker verification and speech recognition.

This item is Non-Returnable

    1

Details

  • ISBN-13: 9780443248566
  • ISBN-10: 0443248567
  • Publisher: Elsevier
  • Publish Date: September 2024
  • Dimensions: 9 x 6 x 0.6 inches
  • Shipping Weight: 1.05 pounds
  • Page Count: 280

Related Categories

You May Also Like...

BAM Customer Reviews