摘要
该文分别从时域和频域角度阐述了语音信号分析的具体方法,主要包括短时能量分析、短时过零率分析和时频域语谱图分析等。通过MATLAB对具体语音信号实例进行时频分析,实验表明语音信号时频分析在端点检测和语音识别等领域具有广泛的应用。
The method of speech signal analysis is described in the time domain and frequency domain respectively, which mainlyincludes short-time energy analysis, short-time zero-crossing rate analysis and time domain analysis. MATLAB is used to analyzethe specific speech signal. The experiment shows that the time-frequency analysis of speech signal is widely used in the field ofendpoint detection and speech recognition.
作者
孙健
SUN Jian （Department of Network Technology, Tianjin Electronic Information College, Tianjin 300350, China）
出处
《电脑知识与技术》
2015年第6期186-187,共2页
Computer Knowledge and Technology
关键词
语音信号
短时能量分析
平均过零率
语谱图
滤波器
speech signal
short-time energy analysis
average zero-crossing rate
spectrogram
filter
