Title :
Diving helmet noise spectral estimation based on pitch tracking
Author :
Gao, Chunxian ; Liu, Hui
Author_Institution :
Commun. Eng. Dept., Xiamen Univ., Xiamen, China
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;
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
DOI :
10.1109/ICSAI.2012.6223363
