Diving helmet noise spectral estimation based on pitch tracking
Gao Chunxian, Hui Liu · 2012
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.