％％ Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter ％ This demonstration illustrates the application of adaptive filters to the ％ attenuation of acoustic noise via active noise control. - Active Noise Control Using a Filtered-X L

请认真阅读采用MATLAB分析WAV文件。 步骤一：选择一个WAV文件作为分析的对象 。（ding.wav） 步骤三：进行 FFT变换并画频域图形 。 步骤四：进行该声波主要频谱的分析。 步骤五：根据该声音的频谱，反演时域图形 。（有失真） 步骤六：进行付立叶逆变换IFFT并画频域图形 。-Please carefully read the WAV files using MATLAB analysis. Step One: Select a WAV file as the

文中主要探究声音在频率上体现出的各种特性，并在此基础上在Matlab平台下的信号处理工具箱，如sptool、fdatool、wavelet、simulink工具箱等，对声纹识别技术做初步探索。-This paper explore the sound reflects the various characteristics in the frequency, the signal processing toolbox in Matlab platform and on this basis, s

ASR语音识别代码 MATLAB程序应用实现(The demo is used for Acoustic Speech Recognition)