Diving helmet noise spectral estimation based on pitch tracking

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.