Paper Info
Title
Quality Assessment of Speech Enhanced using Particle Filters
Abstract
Among the various types of existing speech enhancement algorithms, respective advantages are usually well-known and well-studied, making it possible to choose the right algorithm given a certain type of audio quality requirement (e.g. background noise intrusiveness, naturalness of the speech, etc.). Very little has however been said so far on the quality of speech enhanced by particle filters (PFs). In this paper, we show the detailed results of the analysis of PF-enhanced speech signals. This analysis is conducted using several objective measures, and is based on the comparison with other enhancement algorithms. We find that in general, PF-based algorithms yield speech signals which are among the most natural-sounding, with a residual noise that can be seen as a white noise with its variance "modulated" by the resulting speech.
Year
DOI
Venue
2007
10.1109/ICASSP.2007.367057
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference
Keywords
Field
DocType
particle filtering (numerical methods),speech enhancement,audio quality requirement,particle filters,speech enhancement quality,speech signals,objective measures,particle filters,speech enhancement,speech quaity
Speech enhancement,Background noise,Speech coding,Pattern recognition,Voice activity detection,Computer science,PSQM,Speech recognition,White noise,Sound quality,Artificial intelligence,Linear predictive coding
Conference
Volume
ISSN
ISBN
3
1520-6149
1-4244-0727-3
Citations 
PageRank 
References 
6
0.51
11
Authors
3
Name
Order
Citations
PageRank
Frédéric Mustière161.19
Martin Bouchard217229.67
Miodrag Bolic350358.17