搜索资源列表
zl
- 基于神经网络的语音识别技术研究 基于神经网络的语音识别技术研究-Neural Network Based Speech Recognition Technology based on neural network speech recognition technology research
svm--km
- 这是一个很好的支持向量机工具箱，它可用于模式识别，图像识别，文字识别，语音识别和手写体识别等领域。-This is a very good support vector machine toolbox, it can be used for pattern recognition, image recognition, text recognition, speech recognition and handwriting recognition and other fields.
Neuralnetworkspeech
- 这是一个关于神经网络的ppt文档，相当不错的哦！-This is a speech ppt about Neural network
RBF
- 基于RBF神经网络的语音识别方法的应用研究-RBF neural network-based speech recognition methods applied research
Mel_RBF
- 基于Mel倒谱特征和RBF网络的孤立词语音识别方法-Mel-based cepstral features and RBF networks isolated word speech recognition method
kmean
- it is KMEANS algorit in speech
BP1
- BP神经网络 数据分类 语音特征信号分类-BP neural network classification of data signal classification speech features
SpeechenhancementbasedonBPneuralnetworkprocess
- 讲解语音增强，BP神经网络 基于BP神经网络语音增强的过程-Explain the speech enhancement, BP neural network Speech enhancement based on BP neural network process
VoxForge
- 高级语音识别语料库，英语专用，HTK必备资料-Advanced speech recognition corpus, English dedicated, HTK essential information
classification-of-speech
- BP神经网络的数据分类-语音特征信号分类-BP neural network data classification- classification of speech signal characteristics
module-1
- ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
BP-for-speech
- BP神经网络用于数据分类-对语音特征信号进行分类-BP neural network for data classification of speech feature signals classification
speech-recognize-HMM-CPP
- 在语音识别中，用隐马尔科夫模型（HMM）进行训练，用C++编写的仿真代码-In speech recognition, hidden Markov model (HMM) for training, simulation code written in C++
Silence-removal-in-speech-signals
- 进行话音检测和去除无效的话音，是进行语音识别和处理的预处理必须的功能。-A simple method for silence removal in speech streams
Speech-signal-classification-
- 语音特征信号识别是语音识别研究领域中的一个重要方面,一般采用模式匹配的原理解 决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果.-Speech characteristic signal recognition is an important aspect in the field of speech re
classification-of-Speech-signal-
- 语音特征信号识别是语音识别研究领域中的一个重要方面,一般采用模式匹配的原理解 决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果-Recognition is the speech characteristic signal in the field of speech recognition is an i
Speech-quality-evaluation-algorithm
- 一种低复杂度的基于听觉感知的高效心理声学模型语音质量客观评估算法，目前已经被ITU-T标准采纳为P.862标准， 对大家深入理解P.862标准有很大的帮助，在学术工作者和从事这方面的工作工程技术人员都很有用-An efficient auditory perception based psychoacoustic model objective speech quality assessment of low complexity algorithms, has now been adopt
Speech-Signal-Processing
- 语音信号处理c语言程序-音高、加窗、MFCC、PLP、等-C programming language speech signal processing- pitch, add window, MFCC, PLP, etc
Speech-Recognition
- 用matlab编的基于DTW和MFC算法的语音识别程序，识别效果还不错-Use matlab compiled based MFC algorithm DTW and speech recognition program to identify the results were good
HMM-isolated-word-speech-recognition
- 一种基于隐马尔科夫模型的孤立词的的语音识别实验，可以试验0到9的数字语音识别。-An isolated word speech recognition experiment based on the hidden Markov model, can test 0 to 9 digit speech recognition.