一个基于灰狼优化和粒子优化算法的高速声学回声取消器
Eduardo Pichardo1, Juan G Avalos2, Giovanny Sánchez2
1Tecnologico de Monterrey, School of Engineering and Sciences, Calle del Puente 222, Col. Ejidos de Huipulco Tlalpan, Ciudad de Mexico 14380, Mexico.
Biomimetics (Basel, Switzerland)
|July 26, 2024
概括
这项研究介绍了一种新的声学回声取消器 (AEC) 系统,使用生物灵感的灰狼优化 (GWO) 和粒子优化 (PSO) 算法. 这些方法提高了融合速度,以提高语音控制物联网设备的性能.
科学领域:
- 信号处理 信号处理
- 人工智能的人工智能
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 声波回声取消器 (AEC) 对于语音控制的物联网设备至关重要,但它们的性能在杂的环境中会降低.
- 传统的自适应过方法在回声噪声降低效率方面存在局限性.
- 与传统的梯度优化算法相比,生物灵感算法提供更快的融合率.
研究的目的:
- 为物联网应用开发高性能AEC系统.
- 为了提高收速度和跟踪能力在回声取消.
- 为了应对现实世界声学环境中回声噪声的挑战.
主要方法:
- 实施一个新的AEC系统.
- 灰狼优化 (GWO) 和粒子优化 (PSO) 算法的集成.
- 对生物灵感算法的评估,以实现增强的回声降噪.
主要成果:
- 与现有解决方案相比,拟议的AEC系统显示出更高的融合速度.
- 改进了跟踪能力,减少了回声噪声.
- 在真实的声学环境中提高性能.
结论:
- 基于GWO和PSO的AEC系统为语音控制的物联网设备提供了卓越的性能.
- 更快的融合导致更有效的回声降噪.
- 这一进步有助于在物联网应用中实现更高质量和更现实的声音.
相关概念视频
01:06Echo
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The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
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