在嵌入式系统中实现声音方向检测和混合源分离
Jian-Hong Wang1, Phuong Thi Le2, Weng-Sheng Bee3
1School of Computer Science and Technology, Shandong University of Technology, Zibo 255000, China.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
这项研究使用嵌入式音频定位和增强算法增强可穿戴设备语音识别. 这些方法通过分离混合音频源来提高准确性,从而提高噪音环境中的性能.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 信号处理 信号处理
背景情况:
- 可穿戴设备和传感器网络是IT行业对健康和活动监控的关键.
- 在嵌入式系统中增强语音识别对于改善用户与可穿戴技术的交互至关重要.
- 音频信号处理技术对于克服环境噪音和可穿戴设备中的干扰至关重要.
研究的目的:
- 实施和评估嵌入式系统的音频定位和增强算法.
- 通过先进的信号处理来提高可穿戴设备的语音识别能力.
- 在不同的嵌入式平台上展示方向检测和混合源分离算法的有效性.
主要方法:
- 在TI TMS320C6713 DSK上实施的方向检测算法.
- 混合源分离算法开发并测试在树派2.
- 使用信号与干扰比率 (SIR) 和语音识别精度对混合源分离的实验性评估.
主要成果:
- 混合源分离算法在1米处实现了平均SIR16.72,在2米处达到15.76.
- 当使用开发的音频增强算法时,语音识别准确度显著提高到95%.
- 在专门的嵌入式硬件上成功实现不同的音频处理算法.
结论:
- 嵌入式音频定位和增强算法可以显著提高可穿戴设备的语音识别.
- 开发的混合源分离技术有效地提高了嵌入式系统中的音频质量.
- 这项研究为更强大,更准确的语音控制可穿戴技术提供了基础.
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