Discrimination of Speech and Ship-radiated Noise Based on Frequency Spectrum Similarity

In this paper, the discrimination of speech and ship-radiated noise has been studied, for their interference with each other in the modern sea war, and a new feature abbreviated as SFSD (the Similarity of the Frequency Spectrum Distribution of two successive signal frames) is introduced. Based on the feature, a new two-stage approach is proposed, which firstly computes the SFSF and classifies the signal into speech or ship-radiated noise roughly, and then in the second stage, with the help of context smoothing, the signal are final discriminated in to speech or ship-radiated noise. The algorithm is benchmarked on a large measured data set, with correct recognition accuracy of 96% for ship-radiated noise and that of 92% for speech. Experimental results show that efficiency is exceptionally good.