摘要
语音信号是一个非平稳的信号,具有时变特性,假设其在10~30ms内短时平稳。因此任何语音信号的分析必须建立在"短时"的基础上。标准傅里叶变换不适用于语音信号,应改为短时傅里叶变换对语音信号的频谱进行分析。语音信号经过短时傅里叶变换,其频谱成为"短时谱"。
Speech signal is a non-stationary signal with time-varying characteristics, which is assumed to be stable for a short time within 10-30 ms. Therefore, the analysis of any speech signal must be based on "short time". The standard Fourier transform does not apply to speech signal, it should be changed to short time Fourier transform to analyze the spectrum of speech signal. After the short-time Fourier transform of speech signal, its spectrum becomes "short-time spectrum".
作者
白燕燕
胡晓霞
Bai Yanyan;Hu Xiaoxia(Xi’an University of Technological Information,Xi’an Shaanxi,710032)
出处
《电子测试》
2019年第18期44-45,共2页
Electronic Test
基金
西安工业大学北方信息工程学院2019年度院长科研基金资助项目(19YZ01)
关键词
语音
时变
短时傅里叶变换
短时谱
Speech
Time-varying
Short-time Fourier Transform
Short-time Spectrum
