Abstract
In order to simplify the complexity and reduce the cost of the microphone array, this paper proposes a dual-microphone based sound localization and speech enhancement algorithm. Based on the time delay estimation of the signal received by the dual microphones, this paper combines energy difference estimation and controllable beam response power to realize the 3D coordinate calculation of the acoustic source and dual-microphone sound localization. Based on the azimuth angle of the acoustic source and the analysis of the independent quantity of the speech signal, the separation of the speaker signal of the acoustic source is realized. On this basis, post-wiener filtering is used to amplify and suppress the voice signal of the speaker, which can help to achieve speech enhancement. Experimental results show that the dual-microphone sound localization algorithm proposed in this paper can accurately identify the sound location, and the speech enhancement algorithm is more robust and adaptable than the original algorithm.
Highlights
Microphone array is a key technology of human–computer interaction (HCI)
Acoustic signal processing technology based on microphone array includes multiple technologies such as sound localization, speech separation, and speech enhancement
The experiment showed that the four-element cross microphone array has a blind spot for sound localization, while the five-element microphone can better improve localization accuracy and reduce errors
Summary
Microphone array is a key technology of human–computer interaction (HCI). It can enhance the efficiency of HCI and adapt intelligent speech device to more complex and changing environments [1,2,3]. A. et al [8] proposed a dictionary-based singular value decomposition algorithm to solve the sound localization problem with the help of the non-linear and non-uniform microphone array in the smart phone and proved the accuracy of the algorithm in an environment with extremely low signal-noise ratio (SNR) through experimental results. This algorithm cannot obtain the spatial position of the acoustic source and the distance from the acoustic source to the center of the microphone array. With the current lightweight and highly integrated design concepts of intelligent homes and interactive robots, combined with the current status and development trend of voice signal processing, this paper proposes a dual-microphone-oriented sound localization and voice enhancement optimization algorithm.
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