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
语音信号处理
- 数字信号处理技术在语音系统中的部分应用，如短时傅里叶变换
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
yuyinxinghaochulikejian
- 语音信号处理的课件，包含语音信号的短时分析、特征提取、矢量量化，语音编码、合成与识别.-Speech signal processing courseware, including short-time speech signal analysis, feature extraction, vector quantization, speech coding, synthesis and recognition.
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)
yuyinjiachuang
- matlab语言实现语音信号预处理及短时加窗-Matlab language voice signal pre-processing and short-term window
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,
CHAOGAOSI
- 研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 -Recent research indicates that the speech spectral ampli
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.
problem-of-speech-enhancement
- 文章介绍了几种语音处理方面常见的问题！语音增强算法，以及短时谱估计 检测语音！-Article describes several aspects of speech processing common problem! Speech enhancement algorithms, as well as short-time spectral estimation detect voice!
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