A Binaural Sound Source Localization Method Based on Delay Compensation and Binaural Consistency

Abstract

The invention discloses a binaural sound source positioning method based on delay compensation and binaural coincidence. The binaural sound source positioning method includes the steps of respectively deriving the binaural energy difference and the binaural time difference in a time domain and a frequency domain based on the least mean square error criterion, improving the delay estimation accuracy through a binaural coincidence function, after binaural positioning characteristics are obtained, determining a turning angle and a pitching angle of a sound source through a hierarchical Bayesian search strategy, and achieving the positioning aim. Firstly, it is guaranteed that signal frames applied to positioning are reliable through the binaural coincidence function; secondly, limitation of the traditional mode that two independent algorithms are required to estimate the binaural time difference and the binaural energy difference is broken through delay compensation, and means for extracting the binaural characteristics have diversity and university and are suitable for multiple environments with noise in different degrees; finally, according to a hierarchical positioning system, the number of times of characteristic matching can be effectively decreased, the time complexity of the algorithm is reduced, and the real-time performance requirements for the sound source positioning system are met.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to a binaural sound source localization method applied in speech perception and speech enhancement, in particular to a binaural sound source localization method based on delay compensation and binaural consistency. Background technique [0002] Binaural sound source localization is an important branch of the development of sound source localization technology. Binaural positioning makes full use of the ease of carrying of dual microphones and the filtering characteristics of the auricle, and has important applications in researches such as intelligent monitoring, mobile robots, virtual reality, and video conferencing. It is an important branch of sound source localization technology. It not only utilizes the simple array structure of dual microphones, but also successfully overcomes the front-back ambiguity of dual-microphone positioning in combination with the auditory character...

AI Technical Summary

Problems solved by technology

However, in geometric positioning, the coordinates of the sound source are calculated directly by using the relationship between the binaural features and the environmental position. This mode can get an accurate solution in theory, but it is susceptible to interference from environmental noise and reverberation.

[0014] Existing methods generally adopt ideas similar to pattern recognition, and generally do not consider the relationship between the binaural time difference and the binaural energy difference, and are mostly divided into two independent modules to calculate the two, such as using generalized cross-correlation (including using Different weighting functions) to calculate the binaural time difference, using the logarithmic energy ratio method to calculate the binaural energy difference, and the weighted generalized cross-correlation is mostly proposed from the problem of overcoming the difficulty of extracting the time delay brought by different environments, and does not consider making binaural The case where the ear time difference fluctuates minimally in the current environment

Therefore, the traditional method requires a more complex computing system, and the mode of global feature matching also faces the bottleneck of exponential growth of computational complexity.

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