串声消除中自适应滤波与快速解卷积算法的综合比较.docVIP

 串声消除中自适应滤波与快速解卷积算法 的综合比较# * 5 10  摘要：串声消除是虚拟声重放中的重要问题，其目的在于消除交叉串声，得到正确的双耳声 信号再现原始信号的空间听觉效果。在现存众多的串声消除算法中，时域自适应滤波算法及 频域快速解卷算法应用最为广泛，但是到目前为止还未有对两种算法进行全面比较的研究。 在本文中，将选取最具代表性的 Least Mean Square (LMS)及 Fast Deconvolution(FD)算法从串 声分离度、音色畸变及对 HRTF 测量误差的敏感性三个不同方面，在实际重放环境中通过客 观及主观评价实验对两种算法进行比较。实验结果将为实际重放条件下串声消除算法选择提 供重要参考，同时也揭示了仅仅通过仿真实验来评判串声消除算法性能的不足。 关键词：串声消除；时域自适应滤波算法；频域快速解卷积算法 中图分类号：TN912 15 Comprehensive Comparison of the Least Mean Square Algorithm and the Fast Deconvolution Algorithm for Crosstalk Cancellation LI Dan, FU Zhonghua 20 25 30 35 40 (School of Computer Science,Northwestern Polytechnical University, Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Xian 710129) Abstract: Crosstalk cancellation is an important issue in 3D audio rendering, which aims at reproduce binaural signals at listener’s ears using dual or multiple loudspeakers. Among many existing algorithms, the adaptive filtering in time domain and the direct deconvolution in frequency domain have been the predominant ones. Though they have been widely used, these two methods have never been compared comprehensively as we known. In this paper, we thoroughly examine their performances from different aspects, including channel separation, timbre distortion, and sensitivity to the HRTF measurement errors. Both objective and subjective evaluations are implemented in a practical environment. The experimental results may provide a more comprehensive reference for method choice in practical applications. Additionally, the limitation of using simulation to evaluate the performance of crosstalk cancellation is highlighted. Keywords: Crosstalk Cancellation; LMS; FD 0 引言 虚拟声（Virtual Acoustics），也称三维音频（3D Audio）、双耳音频 （Binaural Audio） 等，它根据人耳对声音信号的感知特点，使用信号处理方法对声源到两耳之间的传递函数进 行模拟，以重建复杂三维虚拟空间声场[1]。人工头捡拾或双耳声合成的方法均可得到虚拟声 信号。双耳声信号是适合耳机重放的，如果将双耳声信号馈给布置在倾听者前方的一对扬声 器重放，就会引入交叉串声（Crosstalk）, 即左扬声器的声音有很大一部分被右耳听到，右 扬声器的声音有很大一部分被左耳听到。交叉串声会导致声音空间信息畸变，同时也会引起 重放音色的改变。 -1-  Bauer 在 1961 年率先提