在日常的音频采集中经常会混入扬声器播放的声音，有些硬件会支持回声消除，有些则需要自己处理，本文件是Android端使用WebRTC的回声消除模块，去除录入音频的远端音频的示例

android-webrtc-aecm 基于WebRTC AECM算法的Android声学回声消除 基于存储库的存储库。 它包含一些错误修复和代码改进。 JNI包装器进行了一些重构，并清除了异常。 还配置了项目以支持x64体系结构，现在它支持以下ABI：armeabi-v7a，arm64-v8a，x86，x86_64。

MATLAB实现回声信号的合成与回声消除

 摘要：介绍了一种用于IP电话中的自适应回声消除器，采用归一化最小二乘（NLMS）自适应滤波器实现，包括语音模式检测器和粗略时延估计器。最后以TI公司的TMS320C5402DSP芯片为平台，实现了该回声消除器，还对关键代码进行了分析。    关键词：回声消除，自适应滤波，NLMS，DSP1　在VoIP中采用回声消除技术的必要性　　与传统的PSTN网络采用电路交换技术不同，IP电话采用的是分组交换技术，充分利用Internet来传输语音数据，使得价格大大降低，从而取得了长足的发展。但是IP电话也存在一些弊端，比如语言质量比较差，导致这一弊端的因素很多，其中主要的因素就是网络延时和算法延时，这主

改进的nlms算法在回声消除系统中的应用

该APP 用于 android 双向语音测试 opus 编码，支持FEC

FM1288用于对语音进行音频降噪和回声消除，同时具有增益调节和均衡控制功能。此压缩包包含FM1288数据手册、配置指导和原理图；还配有调试软件

The echo canceller is based on the MDF algorithm described in: J. S. Soo, K. K. Pang Multidelay block frequency adaptive filter, IEEE Trans. Acoust. Speech Signal Process., Vol. ASSP-38, No. 2, February 1990. We use the Alternatively Updated MDF (AUMDF) variant. Robustness to double-talk is achieved using a variable learning rate as described in: Valin, J.-M., On Adjusting the Learning Rate in Frequency Domain Echo Cancellation With Double-Talk. IEEE Transactions on Audio, Speech and Language Processing, Vol. 15, No. 3, pp. 1030-1034, 2007. http://people.xiph.org/~jm/papers/valin_taslp2006.pdf There is no explicit double-talk detection, but a continuous variation in the learning rate based on residual echo, double-talk and background noise. About the fixed-point version: All the signals are represented with 16-bit words. The filter weights are represented with 32-bit words, but only the top 16 bits are used in most cases. The lower 16 bits are completely unreliable (due to the fact that the update is done only on the top bits), but help in the adaptation -- probably by removing a "threshold effect" due to quantization (rounding going to zero) when the gradient is small. Another kludge that seems to work good: when performing the weight update, we only move half the way toward the "goal" this seems to reduce the effect of quantization noise in the update phase. This can be seen as applying a gradient descent on a "soft constraint" instead of having a hard constraint.

1. 音频回声消除分析工具，非常好用。 2. 工具使用非常方便，一个简单的命令就可以了。

python的speexdsp 要求 wig 编译工具链 Python libspeexdsp-dev 建造 有两种构建程序包的方法。 使用setup.py sudo apt install libspeexdsp-dev git clone https://github.com/xiongyihui/speexdsp-python.git cd speexdsp-python python setup.py install 使用Makefile git clone https://github.com/xiongyihui/speexdsp-python.git cd speexdsp-python/src make 开始吧 """Acoustic Echo Cancellation for wav files.""" import wave import sys from s