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Assessment of musical noise using localization of isolated peaks in time-frequency domain

Hamon, R, Rencker, L, Emiya, V, Wang, W and Plumbley, M (2017) Assessment of musical noise using localization of isolated peaks in time-frequency domain In: The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP2017, 2017-03-05 - 2017-03-09, New Orleans, USA.

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Abstract

Musical noise is a recurrent issue that appears in spectral techniques for denoising or blind source separation. Due to localised errors of estimation, isolated peaks may appear in the processed spectrograms, resulting in annoying tonal sounds after synthesis known as “musical noise”. In this paper, we propose a method to assess the amount of musical noise in an audio signal, by characterising the impact of these artificial isolated peaks on the processed sound. It turns out that because of the constraints between STFT coefficients, the isolated peaks are described as time-frequency “spots” in the spectrogram of the processed audio signal. The quantification of these “spots”, achieved through the adaptation of a method for localisation of significant STFT regions, allows for an evaluation of the amount of musical noise. We believe that this will pave the way to an objective measure and a better understanding of this phenomenon.

Item Type: Conference or Workshop Item (Conference Poster)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
AuthorsEmailORCID
Hamon, RUNSPECIFIEDUNSPECIFIED
Rencker, LUNSPECIFIEDUNSPECIFIED
Emiya, VUNSPECIFIEDUNSPECIFIED
Wang, WUNSPECIFIEDUNSPECIFIED
Plumbley, MUNSPECIFIEDUNSPECIFIED
Date : 2017
Copyright Disclaimer : © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Musical noise, spectrogram, time-frequency analysis, Delaunay triangulation, denoising
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 10 Feb 2017 18:54
Last Modified : 15 Feb 2017 11:01
URI: http://epubs.surrey.ac.uk/id/eprint/813520

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