搜索资源列表
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
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)
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,
Digital-Signal-Processing
- 包括语音信号的模型，语音信号的短时时域分析和频域分析-Including short-term time domain and frequency domain analysis of the speech signal analysis model, the speech signal
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