Jump to content

Dear members, finally, we decided to refresh our theme. Decision was brought based on multiple factors, primarily because of technical needs as old one is not compatible with a new platform version, but also because you all asked for a darker theme.
Here you go!

Please head here if you want to vote https://www.elite7hackers.net/topic/411861-the-new-theme/

 

This site uses cookies! Learn More

This site uses cookies!

For providing our services, we do use cookies.
But get used, this is what most of modern web do!
However we have to warn you since we are obligated to so due to EU laws.

By continuing to use this site, you agree to allow us to store cookies on your computer. :)
And no, we will not eat your computer nor you will be able to eat those cookies :P

Promaja

Audio Source Separation and Speech Enhancement

Recommended Posts

0058b519.jpg

Emmanuel Vincent and Tuomas Virtanen, "Audio Source Separation and Speech Enhancement"
English | ISBN: 1119279895 | 2018 | 504 pages | PDF | 11 MB

Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: * Consolidated perspective on audio source separation and speech enhancement. * Both historical perspective and latest advances in the field, e.g. deep neural networks. * Diverse disciplines: array processing, machine learning, and statistical signal processing. * Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs.



http://nitroflare.com/view/F6264E585893F7B/1119279895.pdf


https://rapidgator.net/file/7633125db40a10e9f9a37a7b2b1b2acb/1119279895.pdf.html

Share this post


Link to post
Share on other sites

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now

Elite7Hackers Netwok

Hack the imagination!

Support and inquiries

Open support ticket here or email us at [email protected]

Highlights

Highlighted/recommended lights

×

Important Information

By using this site, you agree to our Privacy Policy and Terms of Use.