【摘要】 介绍了一种基于Android平台的音频捕获和音频频谱分析的实现方法。采用Audio Record和Audio Track类进行音频捕获与输出。利用基-2快速傅里叶算法对捕获到的音频数据进行时频变换,设置分析窗口大小及数据起始位置,可以显示任意时刻声音频谱特性。分析了歌声和鸟叫声的频谱特征,可以直观显示歌唱者的不同歌唱水平和情感表现力对应的频谱特征。更多还原

【Abstract】 This paper introduces a workable method for audio capture and spectrum analysis based on Android platform. The method adopts Audio Record and Audio Track class to capture audio signals and playback.FFT-2( Fast Fourier Transform) algorithm is used to transform the signals from time domain to frequency domain. By setting the analysis window size and the start point of data,the method can display the spectral characteristic of any moment. The frequency characteristics of singing from people and birds have been analyzed,which results that the spectral characteristics of different singing level and emotional expressiveness can be display directly.更多还原