中圖分類號： TN912.3
文獻標識碼： A
DOI：10.16157/j.issn.0258-7998.212108
中文引用格式： 劉雨佶，童峰，陳東升，等. 面向船載遠程會議的麥克風陣列高精度DOA估計[J].電子技術(shù)應用，2022，48(3)：32-36，77.
英文引用格式： Liu Yuji，Tong Feng，Chen Dongsheng，et al. High precision DOA estimation of microphone array for shipboard teleconferencing[J]. Application of Electronic Technique，2022，48(3)：32-36，77.

High precision DOA estimation of microphone array for shipboard teleconferencing

Abstract： With the improvement of ship intelligence level, shipboard teleconferencing system is of great significance to improve the emergency handling capacity and promote the construction of shipboard integrated network. Microphone array is an important voice front-end to ensure the voice effect as well as the multi-mode interaction of teleconferencing system. However, while the small size of ship cabins leads to the adoption of small-size array, strong reverberation caused by small cabins and noisy cabin noise also seriously degrade the performance of traditional microphone array algorithm. Considering the direction of arrival(DOA) estimation scenario of small-size array in complex environment of ship cabin, a lightweight Mask-DOA estimation neural network model is proposed in this paper. With this method, Mask algorithm is introduced into the DOA estimation neural network to reduce the noise and reverb interference, then the enhanced GCC-PHAT is extracted as the network feature, so as to realize the high-precision DOA estimation on the small-size microphone array. Simulation and experimental results show that the Mask-DOA model proposed in this paper is more robust and has better generalization ability in the complex environment of ship cabin.

Key words : direction of arrival estimation；ship cabin noise and reverberation environment；neural network；time-frequency masking