扬声器
对比度(视觉)
计算机科学
平坦度(宇宙学)
声学
录音和复制
约束(计算机辅助设计)
音频反馈
语音识别
数学
人工智能
物理
几何学
宇宙学
量子力学
作者
Yefeng Cai,Ming Wu,Jun Yang
摘要
This paper describes a method for focusing the reproduced sound in the bright zone without disturbing other people in the dark zone in personal audio systems. The proposed method combines the least-squares and acoustic contrast criteria. A constrained parameter is introduced to tune the balance between two performance indices, namely, the acoustic contrast and the spatial average error. An efficient implementation of this method using convex optimization is presented. Offline simulations and real-time experiments using a linear loudspeaker array are conducted to evaluate the performance of the presented method. Results show that compared with the traditional acoustic contrast control method, the proposed method can improve the flatness of response in the bright zone by sacrificing the level of acoustic contrast.
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