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dtwglcgx
- 基于DTW算法的孤立字识别系统。用Matlab编程实现语音信号的端点检测，从原始信号提取有效语音段，从而实现孤立字的识别。-isolated word recognition system. Matlab programming in endpoint detection, signal extraction from the original effective voice, thus achieving an isolated word recognition.
show-new
- 语音信号处理。例如：滤波、检测、增强、估计、识别、谱分析
bpsk14.rar
- 本课题为给语音识别系统提供语音信号端点检测的功能，对语音信号端点检测进行了探讨和研究,主要是侧重语音区间的端点检测...(附软件源码),Voice Active Detection (VAD) is discussed in this project. Detection between speech section and speechless section and emphasized.(code available).
yuyinshibie.rar
- 利用matlab模拟的语音识别系统，读取wav文件进行信号处理~~~,Matlab simulation of the use of voice recognition systems, to read wav files Signal Processing ~ ~ ~
dwt
- 基于动态时间规划（DTW）的语音信号识别，MATLAB环境下的-Dynamic Programming (DTW) of the speech signal recognition, MATLAB environment
MFCC
- 对语音信号读取，并画出波形图，是语音识别的基础，对新手有一些帮助-Read the speech signal, and draw the waveform, is the basis of speech recognition, there is some help for novice
jcwtlib-0.01.tar
- 独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独
project2
- 线性预测法是语音处理中的核心技术，它在语音识别、合成、编码、说话人识别等方面都得到了成功应用。有的专家认为，进20年中语音处理技术的飞速发展与以线性预测为中心的信号处理技术是分不开的。简单来说，就是：一个语音的抽样能用过去若干语音抽样的线性组合来逼近。 -Linear prediction is the core voice processing technology, which in speech recognition, synthesis, coding, speaker recog
dtw
- 用于语音识别即ＤＴＷ算法，计算两个语音信号之间的距离-DTW algorithm for speech recognition is to calculate the distance between the two speech signals
ymx
- 线性预测分析是现代语音信号处理中最核心的技术之一，为现代语音信号处理的飞速发展立下了赫赫功劳，在语音分析、合成、编码、识别等方面都有着广泛的应用，至今仍是最有效的语音分析技术之一。-Linear prediction analysis is the most modern speech signal processing one of the core technology for the modern rapid development of voice signal processing a
pitch
- 语音信号的基音抽出分析，可用于语音识别，效果不错-Pitch out of the speech signal can be used for speech recognition, good results
endpointdetecting(matlab)
- 语音端点检测，有助于除去语音信号中的噪音部分，留下有用的携带信息的部分，有利于提取其中有用的语音特征参数，从而提高识别率。-Endpoint detection, helps remove the noise part of the speech signal, leaving useful information-bearing part, is conducive to extract the speech feature useful to improve the recognition
GAOT
- 用mfcc函数实现语音信号的特征提取，对提取数据进行分析 模式识别的一道例题-With MFCC function realization of speech signals to extract feature extraction and analysis of the data and pattern recognition of a sample
Hmm
- 语音识别技术的最终目标是要让计算机能与人自由交谈。目前，连续语音识别技术正趋于成熟，语音识别也延伸出了诸多实用化的研究方向。今后，语音识别的重点将集中在自然话语识别与理解、实时语音识别和语音识别鲁棒性等方面。作为一门交叉学科，语音识别所涉及到的技术有信号处理、模式识别、概率论和信息论、发声机理、听觉机理和人工智能等。-The ultimate goal of speech recognition technology is to make computers and allowing other
Matlab-based-sound-recognition
- 该文介绍了我们基于 m 删 模 型语音信号识别原理开发的连续数字音识别软件包及其程序实 现 。-this WenJie shaoxing us based on m delete mode of speech signal the principle of general don t open a few words sound hair general don t software package and its program real now
BPANN
- BP神经网络用于语音信号识别，一定会对你的学习和工作很有帮助-This matlab code used to recognize the voice signal by ANN.It must be useful and helpful for your study.
matlab-OK
- 电话按键音DTMF 端点检测 基于MATLAB的电话语音信号识别-DTMF touch-tone telephone endpoint detection filter
voiceRecognition--dtw
- 语音信号说话人识别， 运用DTW算法进行说话人识别(Speaker recognition by speech signal and speaker recognition using DTW algorithm)
spkID
- 利用mFCC特征提取算法进行语音信号的特征提取，然后利用ＧＭＭ识别出特征人，计算目标得分，程序效果ＯＫ。(The extraction algorithm for feature extraction of speech signal using mFCC features, and then use GMM to identify a specific target, calculate the score, the effect of OK program.)
用MATLAB来实现3个通道的语音盲源分离
- 盲分离算法，处理声音信号的分离，供语音识别使用(Blind separation algorithm, which handles the separation of sound signals, is used for speech recognition.)