Dual-channel acoustic signal-based sound source localization method

Abstract

The invention relates to a dual-channel acoustic signal-based sound source localization method which is an improved sound source localization method. In the method, the mean value and the variance of the interaural time difference (ITD) and the interaural intensity difference (IID) of each frequency band are taken as characteristic clues for the localization of the azimuth of a sound source to set up an azimuth mapping model. In the actual localization of the sound source, dual-channel acoustic signals are inputted, the inputted acoustic signals are subjected to frequency band allocation and filtering processing by a Gammatone filter group which is similar to a human aural filter, then, are inputted to a characteristic extraction module, the localization information on the ITD and the IID of each subband is extracted, the localization clues on the ITD and the IID of each subband are integrated based on a Gaussian mixture model (GMM), and the likelihood values of the ITD and the IID on the corresponding frequency band of each azimuth angle are obtained and are served as the decision values for azimuth estimation. The system has higher sound source localization performance.

Description

technical field [0001] The invention relates to a sound source localization technology of a dual-path sound signal, in particular to a horizontal-direction single sound source localization method of a double-path sound signal. Background technique [0002] Sound source localization technology, as an emerging interdisciplinary subject, can help transmit and identify visual information and increase the fidelity of the 3D simulation environment. At present, the main positioning algorithms are multi-microphone array sound source localization algorithm and dual-channel sound source localization algorithm. The sound source localization algorithm of multi-microphone array has problems such as large amount of calculation, large size of microphone array, and the algorithm is greatly disturbed by factors such as reverberation. The sound source localization method based on the two-channel sound signal simulates the auditory characteristics of the human ear, and can achieve more accura...

AI Technical Summary

Problems solved by technology

The most representative is the estimation of interaural time difference ITD (Interaural Time Difference) based on cross-correlation. However, the positioning based on cross-correlation ITD estimation can only locate the forward direction, and cannot distinguish the front and rear sound sources.

However, the backward positioning algorithm based on the probability model requires a large amount of calculation.

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