Bispectrum weighted spatial correlation matrix-based speech sound source localization method

Abstract

The invention relates to a bispectrum weighted spatial correlation matrix-based speech sound source localization method. The objective of the invention is to solve problems in microphone array-based robust sound source localization in an actual complex noise environment. According to the method, the special mathematical properties of speech signals and noise signals received by a microphone array on a bispectrum domain are utilized. The method includes the following steps that: framing and bispectrum estimation are performed on signals acquired by the microphone array; on the bispectrum domain, the bispectrum phase difference of each microphone and a reference microphone is calculated; the signals of the reference microphone are adopted to estimate bispectrum unit weight; a bispectrum weighted spatial correlation matrix corresponding to a candidate direction is calculated according to the bispectrum phase difference and the bispectrum unit weight; a sound source direction cost function for a current candidate direction is calculated based on the eigenvalue of the bispectrum weighted spatial correlation matrix; and the direction of a speech sound source is estimated according to a direction corresponding to the maximum value of the sound source direction cost function.

Description

technical field [0001] The invention relates to the design of a noise robust speech sound source localization method based on a microphone array, and more specifically, to a speech sound source localization method based on a bispectral weighted spatial correlation matrix. Background technique [0002] Speech source localization methods based on microphone arrays have been extensively studied in recent years. Through the sound signals collected by the microphones in different spatial positions, the direction of the sound source can be finally determined according to the time difference information of the sound signals and the geometric shape of the microphone array. The estimation of temporal difference information plays a decisive role in the performance of sound source localization algorithms. Noise is the main restrictive factor for the practicality of speech sound source localization methods. The noise in the actual environment includes non-directional scattering noise ...

AI Technical Summary

Problems solved by technology

When the sampling rate of the signal is low, the method based on time delay estimation cannot achieve high angular resolution because it can only estimate the time delay of integer sampling points between signals

Noise remains one of the main challenges for this class of methods

Especially in the presence of directional noise, the time delay information between target signals is very susceptible to the interference of directional noise time delay

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