搜索资源列表
chmm
- 数字0-9的语音识别实现，采用双门限端点检测算法，mfcc和lpcc相结合的特征参数提取，识别率较高。-Numbers 0-9 of speech recognition, adopts double threshold endpoint detection algorithm, the combination of MFCC and LPCC feature parameter extraction, the recognition rate is higher.
yuyinqingxushibie
- 语音情绪识别，包括预处理阶段以及 一些特征参数的提取。-Speech emotion recognition, including pre-processing stage, and some characteristic parameter extraction.
lpcctezheng
- 语音情绪识别中用到的lpcc特征参数的提取，所用的方法为LPC参数提取。-Used in speech emotion recognition lpcc characteristic parameter extraction, the use of the LPC parameter extraction method.
cdhmm
- 通过Matlab编程，经过提取特征参数与模板对比，可以识别0-9十个数字。-By Matlab programming, after extracting characteristic parameters compared with the template, you can identify 0-9 ten numbers.
ydm
- 语音识别原代码 预处理 特征参数提取 匹配 识别 -Speech recognition source code matching recognition preprocessing feature extraction
vq-Speakerrecognized
- vq矢量量化，对说话人进行识别，内置有语音样本，识别率高达90 。对语音信号进行读取，预处理，特征参数提取，向量量，训练，对比识别。-vq vector quantization for speaker identification, built-in voice samples, the recognition rate of 90 . Read the speech signal, preprocessing, feature extraction, the amount of vector
mfcc
- mfcc.m 用于语音识别上的mfcc特征参数提取函数。-mfcc.m mfcc characteristic parameters for speech recognition on the extraction function.
myVoron
- 对语音特征参数进行空间划分的函数，对采用VQ进行语音识别的设计的朋友朋友们很有用-Speech feature parameters for space partition function, to the design of using speech recognition of VQ friends friends is very useful
lpccself
- 语音识别中求取LPCC系数，即语音信号的特征参数-Speech Recognition feature parameters strike LPCC coefficients, namely the speech signal
Speaker-Identification
- Amin Koohi的基于MFCC特征参数提取的说话人识别程序，可运行。-Based on MFCC feature parameter extraction of speaker recognition program Amin Koohi.
emd
- 运用EMd算法实现了信号的处理，并且对信号进行傅里叶变化获得其频域特征，冲采样后获得特征参数建立神经网络与实验进行识别- EMd use signal processing algorithm, and the Fourier transform of the signal in the frequency domain to obtain its characteristic red after sampling to obtain the characteristic parameter
jizhongshuzixinhaode-yanjiu
- 对几种基本的数字调制信号的特征参数进行提取，并对此进行研究，研究识别成功率。-Features several basic parameters of digitally modulated signals are extracted, and this study, the researchers recognition success rate.
MSR-Identity-Toolkit-v1.0
- 微软研究院的说话人识别工具包，包括GMM-UBM、I-Vector。其中demo_gmm_ubm_artificial.m和demo_ivector_plda_artificial.m为生成模拟特征参数进行训练与识别的教学示例，十分适合初学者学习说话人识别基础算法。具体使用方法请看内部文档。-Microsoft Research s speaker recognition toolkit, including GMM-UBM, I-Vector. Demo_gmm_ubm_artificial.
HMM_VoiceRecognation
- 通过基于HMM的语音识别系统的基本结构,详细介绍了语音信号采集、预处理、MFCC特征参数提取、HMM训练和HMM识别等主要模块的基本原理 并针对实际应用中HMM存在的模型初始化和数据溢出等问题进行分析,引入了一些能提高系统性能的相应措施。-By the basic structure of HMM-based speech recognition system, details the basic principles of audio signal acquisition, preproces
chulichexing
- 在样本图像采集读取、图像预处理、特征参数提取、车型识别分类等方面进行了系统研究-In the sample image acquisition read, image preprocessing, feature extraction, classification models to identify other aspects of the system study
era
- 基于时域的模态参数识别算法，特征系统实现法。-Modal parameter identification algorithm based on time domain, the characteristics of the system implementation method.
MFCC1
- 提取语音的MFCC特征参数，在语音识别（Speech Recognition）和话者识别（Speaker Recognition）方面，最常用到的语音特征就是梅尔倒谱系数（Mel-scale Frequency Cepstral Coefficients，简称MFCC）。-MFCC feature parameters extracted speech, speech recognition (Speech Recognition) and speaker verification (Speak
ofdm_modulation_recognition
- ofdm调制方式识别的matlab仿真程序，即ofdm信号与单载波信号之间的识别，利用的是高阶累积量作为特征参数-Ofdm modulation mode recognition of matlab simulation program, that is, between ofdm signal with single carrier signal recognition, using the high-order cumulants as characteristic parameters
combing-mutil-paramters-
- 多特征参数混合的语音信号处理，主要应用于语音识别-singal processing based on combeining mutil parmetars for speech recogntion
JLDATA
- 摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。-Abstract: This thesis