DocumentCode
2393667
Title
Diving helmet noise spectral estimation based on pitch tracking
Author
Gao, Chunxian ; Liu, Hui
Author_Institution
Commun. Eng. Dept., Xiamen Univ., Xiamen, China
fYear
2012
fDate
19-20 May 2012
Firstpage
1673
Lastpage
1676
Abstract
This paper describes an algorithm for estimating breath noise in deep water diving helmet, which is the primary factor responsible for speech degradation. The algorithm consists of two parts: speech front-end detection based on pitch tracking, and noise estimation combined with energy criterion. Experimental results are reported and confirm the algorithm in efficiency and robustness.
Keywords
estimation theory; noise; speech processing; breath noise; deep water diving helmet; noise spectral estimation; pitch tracking; speech degradation; speech front-end detection; Algorithm design and analysis; Estimation; Noise measurement; Signal to noise ratio; Speech; Speech enhancement; Breath Noise; Noise Estimation; Pitch Detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4673-0198-5
Type
conf
DOI
10.1109/ICSAI.2012.6223363
Filename
6223363
Link To Document