- New Arrivals
Fiction- Historical FictionCrime & ThrillersMysteryScience-FictionFantasyPoetryRomanceChildren’s BooksYoung Adult
- Biographies & MemoirsHistoryCurrent AffairsTech & ScienceBusinessSelf-DevelopmentTravelThe ArtsFood & WineReligion & SpiritualitySportsHumor
ListsGift CardsWhat To ReadMy Lists- About & Help
- About Tertulia
- Membership & Co-Ownership
- Shipping & Delivery
- Orders & Payments
- Contact Support
- Send App Feedback
- Follow us
- Download the app
The co-op bookstore for avid readers
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments
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. It 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. The book particularly emphasizes modern deep learning-based techniques for speaker verification and speech recognition, including their foundations and cutting-edge technologies.
Book Details
- Publisher: Elsevier
- Publish Date: Nov 1st, 2024
- Pages: 400
- Language: English
- Edition: undefined - undefined
- Dimensions: 0.00in - 0.00in - 0.00in - 0.00lb
- EAN: 9780443248566
- Categories: • Artificial Intelligence - General
About the Author
Zhang, Xiao-Lei: -
Xiao-Lei Zhang received his Ph.D. degree with honors from Tsinghua University, China, in 2012. He was a postdoctoral researcher with the Department of Electronic Engineering at Tsinghua University from 2012 to 2014. He was a visiting scholar at The Ohio State University, USA, from 2013 to 2014 and a postdoctoral researcher with the Department of Computer Science and Engineering, The Ohio State University, from 2014 to 2016. Since 2016 he has been a full professor at the Northwestern Polytechnical University, Xi'an, China.
His research interests are the topics in speech processing, machine learning, statistical signal processing, and artificial intelligence.