Applications of auditory perceptual features into targets recognition

The efficiency of recognition features is one of the key problems in recognizing acoustic targets accurately. Simulating the function of auditory system proposed in recent years has been viewed as a new feature extraction approach. In this study, auditory perceptual features were applied into recognizing the steady-state sound, which was investigated to prove which feature is effective. Firstly, the extraction approaches of the auditory perceptual features were previously identified by researching on the musical acoustics and speech literature. Secondly, a number of recognition researches were performed to recognize the acoustic targets in different fields, such as vehicles, airplanes, ships and musical instruments. Finally, the recognition results show that the spectral signal features of auditory perceptual features are useful for steady-state sounds classification. The features which have good and steady performance include: the mel-Frequency cepstrum coefficients and the spectral roll-off, as well as several features based on sub-band of spectral centroid, bandwidth and flux.