Audio signal clustering and separation using a stacked autoencoder | Zendy

GilJin Jang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Audio signal clustering and separation using a stacked autoencoder

Author(s) -

GilJin Jang

Publication year - 2016

Publication title -

the journal of the acoustical society of korea

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.162

H-Index - 2

eISSN - 2287-3775

pISSN - 1225-4428

DOI - 10.7776/ask.2016.35.4.303

Subject(s) - autoencoder , short time fourier transform , cluster analysis , non negative matrix factorization , spectrogram , pattern recognition (psychology) , computer science , fourier transform , artificial intelligence , signal (programming language) , time–frequency analysis , source separation , matrix (chemical analysis) , matrix decomposition , fast fourier transform , speech recognition , algorithm , mathematics , deep learning , fourier analysis , computer vision , filter (signal processing) , physics , materials science , mathematical analysis , eigenvalues and eigenvectors , programming language , composite material , quantum mechanics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research