Audio-Visual speech recognition with background music using single-channel source separation

Grais, EM, Topkaya, IS and Erdogan, H (2012) Audio-Visual speech recognition with background music using single-channel source separation In: 2012 20th Signal Processing and Communications Applications Conference, 2012-04-18 - ?.

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Abstract

In this paper, we consider audio-visual speech recognition with background music. The proposed algorithm is an integration of audio-visual speech recognition and single channel source separation (SCSS). We apply the proposed algorithm to recognize spoken speech that is mixed with music signals. First, the SCSS algorithm based on nonnegative matrix factorization (NMF) and spectral masks is used to separate the audio speech signal from the background music in magnitude spectral domain. After speech ...

Item Type:	Conference or Workshop Item (Conference Paper)
Subjects :	Electronic Engineering
Divisions :	Surrey research (other units)
Authors :	Grais, EM, Topkaya, IS and Erdogan, H
Date :	18 April 2012
Contributors :	Contribution Name Email ORCID publisher IEEE,
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 13:54
Last Modified :	23 Jan 2020 18:56
URI:	http://epubs.surrey.ac.uk/id/eprint/840747

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