lgddyza / FPGA-Based_Audio_Processing_and_ClassificationView on GitHub
本项目基于Xilinx ZYNQ-7020开发板,实现了一个实时音频处理与分类系统,实现对人声、纯音乐的实时分类识别,同时可以对音频波形进行识别分类,目前可以识别正弦波、锯齿波、矩形波,并给出它们的基频频率,分辨率为11Hz。系统以48kHz的采样率捕获音频信号,在FPGA上通过4096点FFT及双阈值峰值检测算法进行实时频谱分析与特征提取,并依据频谱特征将音频状态划分为人声、音乐或静音,分析二倍频、三倍频来判断波形类型。处理结果通过PL端的EMIO传递到PS端的ARM处理器,进行逻辑判断后,经由UART接口在上位机实时显示。系统响应迅速,分类准确,充分体现了软硬件协同设计的优势。
16Feb 5, 2026Updated 5 months ago

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