针对音频应用的多通道系统的在线自适应识别
Guilhem Pagès1, Roberto Longo1, Laurent Simon1
1Laboratoire d'Acoustique de l'Université du Mans (LAUM), Unité Mixte de Recherche 6613, Institut d'Acoustique-Graduate School (IA-GS), Centre National de la Recherche Scientifique, Le Mans Université, France.
The Journal of the Acoustical Society of America
|January 8, 2024
概括
本研究介绍了一种适应算法,用于在多输入声系统中准确估计室内冲动响应 (IR). 该方法可以在没有事先信息的情况下同时对多个声音源进行IR估计,从而改进了音频应用.
科学领域:
- 声学 声学 在声学方面
- 信号处理 信号处理
- 系统识别系统识别系统
背景情况:
- 精确的脉冲响应 (IR) 估计对于各种音频应用中的多输入声系统至关重要.
- 现有的方法可能需要先验信息或与同时识别源进行斗争.
研究的目的:
- 在多输入单输出 (MISO) 线性时间不变 (LTI) 系统中扩展Autostep算法,用于同时进行室内IR估计.
- 为了评估算法的性能,而不需要任何关于声环境或声源的预先信息.
主要方法:
- 自动步骤算法被调整为在模拟和真实声学环境中同时进行IR估计.
- 在各种元参数设置下分析了算法的融合.
- 性能与正常化最小平均平方 (NLMS) 算法进行了比较.
主要成果:
- 拟议的算法成功地从多个主动声音源同时估计了房间的IR.
- 研究了融合行为,证明了元参数选择的影响.
- 与NLMS算法相比,基于Autostep的方法显示出具有竞争力的或改进的性能.
结论:
- 扩展的Autostep算法为MISO LTI系统中同时进行室内红外估计提供了有效的解决方案.
- 该方法在模拟和实验环境中得到验证,包括任意房间.
- 该研究强调了该算法的稳定性和实际音频应用的潜力.
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