Method for real-time tracking and positioning of moving sound sources in indoor sound field environment

Abstract

The method for real-time tracking and positioning of mobile sound sources in the indoor sound field environment of the present invention estimates the distance and steering value between the continuous gaits of the mobile sound source by reading the built-in sensor information of the mobile phone, and analyzes the real sound source point and location of the continuous gait. It follows the changing spatial position of the mirror image sound source point, and constructs the geometric relationship of the source point under continuous gait. Then, the first-order echo is identified through the moving sound source gait analysis module, and its time delay estimate is extracted on the RIR. Finally, based on this delay, the sound arrival time difference between the image sound source point and the receiving microphone is calculated. Based on the nonlinear weighted least squares analysis model, the spatial three-dimensional coordinate information of the moving sound source is iterated. This method only uses the indoor space geometry as a priori, and effectively utilizes multi-sensing information to improve the tracking and positioning performance of mobile sound sources in complex indoor sound field environments without increasing the complexity of the system hardware and without relying on infrastructure. , so it has low complexity and flexible portability.

Description

technical field [0001] The invention relates to a method for tracking and locating a moving sound source in the field of acoustics, in particular to a method for realizing real-time tracking and locating a moving sound source in an indoor sound field environment based on an acoustic image model and using a non-linear weighted least square principle. Background technique [0002] Sound source tracking and positioning technology in indoor reverberant environment has important application value in video conferencing, speech enhancement and recognition and other scenarios, and is a hot issue in the field of acoustics. [0003] The indoor environment is a complex environment with strong noise and strong reverberation sound field. The high-order reflected sound may arrive at the receiving microphone earlier than the low-order reflected sound, and may even be close to the direct sound signal in energy. In the indoor sound field environment, reverberation and noise affect the estima...

AI Technical Summary

Problems solved by technology

[0004] There are some methods for single-channel sound source localization based on feature extraction of ambient sound signals, including room-level localization by extracting features such as sound power and sound density combined with neural network algorithms. As a priori information, the complexity and time consumption of neural network algorithms will bring new problems to the real-time tracking and positioning of sound sources

In order to eliminate the misjudgment of indoor reverberation and noise on the estimation of sound propagation delay, especially the misjudgment of the first-order echo delay, there are also some single-channel sound acquisition methods, through time domain and frequency domain noise reduction processing, Methods to achieve sound source localization, but such methods are computationally complex and rely on special equipment

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