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szlkc062
- 语音信号时域分析,短时过零率,短时能量分析,MATLAB实现-speech signal time-domain analysis, short-term zero rates, short-term energy analysis, MATLAB
voicesignalprocess
- 用短时能量分析法和短时过零分析法分析一段语音信号-With short-term energy analysis and short-term zero-crossing analysis method, a voice signal
EnergyDetectionAlgorithmInvestigationBasedonCooper
- :该文首先研究了单认知用户能量检测算法的检测性能和检测灵敏度与检测时长和噪声短时间内平均功率波 动性之间的关系,得出检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降的结论,在低信噪 比时尤为明显;针对检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降,提出了基于多用户 协同能量检测算法。-In this paper,detection performance and detection sensitivity with detection duratio
Efficient-LSP-quantization-algorithm
- 为在极低速率下实现高质量的语音编码,提出了一 种新的有效的线谱对( LSP)参数量化算法——P-RS- MSM Q 算法。此算法以多帧联合矩阵量化作为基本框架,引入了基 于超级帧模式的均值去除和帧间预测策略、 矩阵分裂和子矩 阵多级量化策略 同时提出了基于语音帧短时谱能量的帧 内加权和基于超级帧中各子帧重要性的帧间加权策略等。-Very low rates in high-quality speech coding, a new and effective LSP (LSP)
yuyinxinhaochuli
- 语音信号处理实基于MATLAB的语音信号时域特征分析 要求: 按所学相关语音处理得的知识,通过网上学习、资料查阅,自己设计程序,给出某一语音信号的短时过零率、短时能量、短时自相关特征的分析结果,并借助时域分析方法检测所分析语音信号的基音周期-yu yin xin hao chu li
paper-of-VAD
- 语音端点检测的各种论文,包括MFCC、过零率、短时能量、小波以及谱熵等方法,对编写语音VAD算法有很大的帮助-Speech endpoint detection in a variety of papers, including MFCC, zero-crossing rate, short-term energy, wavelet and spectral entropy method, write voice VAD algorithm of great help
daima
- 基于matlab的语音端点检测代码,研究参数短时能量和过零率-Matlab-based short-term energy and zero-crossing rate detection,
US2010030559A1-(1)
- 基于matlab的语音端点检测方案设计,主要关于短时能量和过零率-Matlab-based short-term energy and zero-crossing rate detection,
functions
- 语音信号处理的一些函数,包括短时谱、自相关、短时能量、过零率等-Some functions of speech signal processing, including short-term spectrum, autocorrelation, short-term energy, zero-crossing rate, etc.
speech-recognition
- 基于MATLAB的语音端点检测短时能量matlab实现短时过零率matlab实现-Speech endpoint detection based on MATLAB short-time energy MATLAB short-time zero crossing ratio of MATLAB
wheel-treadmonitoring
- 城轨车辆轮对踏面故障在线监测系统,基于振动检测法的轮对踏面故障监测系统,通过傅里叶变换、小波包分析对釆集到的振动信号进行分析获得信号的特征,研究了基于短时能量判断的踏面故障特征提取算法。-On line monitoring system for wheel tread of urban rail vehicles, based on the vibration detection method of wheel tread fault monitoring system, through th