z-logo
open-access-imgOpen Access
Using full-rank spatial covariance models for noise-robust ASR
Author(s) -
Dũng Trần Trung,
Emmanuel Vincent,
Denis Jouvet,
Kamil Adiloğlu
Publication year - 2013
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - Uncategorized
Resource type - Conference proceedings
Subject(s) - non negative matrix factorization , speech recognition , computer science , source separation , noise reduction , matrix decomposition , artificial intelligence , rank (graph theory) , noise (video) , pattern recognition (psychology) , speech enhancement , covariance , mathematics , statistics , image (mathematics) , combinatorics , eigenvalues and eigenvectors , physics , 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

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom