Paper Info
Title
An Objective Measure to Assess Musical Noise using Connected Time-Frequency Regions
Abstract
In this work, we propose an objective measure to assess the amount of musical noise that results from speech enhancement algorithms. The algorithms can result in nonsmooth suppression of background noise which in turn translates to isolated regions of high energy, referred to as musical noise. We propose to identify such regions by combining time-frequency (TF) bins associated through connectivity along with additional properties of these regions such as area, aspect ratio and total energy. The objective measure proposed is based on density of such regions. The effectiveness of the proposed measure is studied by correlating it with subjective assessment of listeners using enhanced speech of various algorithms.
Year
DOI
Venue
2019
10.1109/NCC.2019.8732246
2019 National Conference on Communications (NCC)
Keywords
Field
DocType
Musical Noise,Speech Enhancement,connected TF regions
Speech enhancement,Background noise,Musical,Computer science,Speech recognition,Time–frequency analysis,High energy
Conference
ISBN
Citations 
PageRank 
978-1-5386-9286-8
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Ajey Saligrama100.68
H. G. Ranjani2113.05
Rangarao Muralishankar3268.13
H. N. Shankar4104.93