搜索资源列表
dtw-new
- DTW (Dynamic Time Warping)源程序,广泛应用于语音识别等领域,可以用于相似曲线的对齐。(用winrar进行解压)-DTW (Dynamic Time Warping) source. widely used in areas such as speech recognition, which can be used similar to the curve alignment. (Using WinRAR for decompression)
dtw
- DTW(Dynamic Time Warping)算法,c代码 使用: dtw infile1 infile2 outfile xsize ysize params [debug_file]
基于DTW模型的语音识别
- 语音识别(Speech Recognition)是让机器通过识别和理解过程把语音信号转变为相应的文本或命令的技术。在课题中,通过采用DTW(Dynamic time warping, 动态时间伸缩)算法,对实现孤立词的识别进行了初步探讨和研究,实现了在MATLAB软件环境下孤立词语的语音识别,并针对DTW的主要特点及不足做出了总结。-Speech Recognition (Speech Recognition) machines is through recognition and unders
Great_Outdoors_by_sandals82.zi
- 一种简单有效的基于动态时变语音识别源码 对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩, ,Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importa
LCS-VC60
- C语言DTW算法实现,主要功能: 1)快速近邻DTW比较 2)算法稳定 3)节省内存-== Key features == 1) Fast Dynamic Time Warping nearest neighbor cost retrieval. 2) Persistence 3) External-memory: you need only a constant amount of RAM
dtw
- 动态时间规正算法,用于语音识别,模式匹配等,在matlab环境下使用-Dynamic time warping algorithm for speech recognition, pattern matching, etc., in the matlab environment
dtw
- dynamic time warping
DTWspeech
- 本 文 首先 介绍了语音识别的研究和发展状况,然后循着语音识别系统的 处理过程,介绍了语音识别的各个步骤,并对每个步骤可用的几种方法在实 验基础上进行了分析对比。研究了语音信号的预处理和特征参数提取,包括 语音信号的数字化、分帧加窗、预加重滤波、端点检测及时域特征向量和变 换域特征向量.其中端点检测采用双门限法.通过实验比对特征参数的选取, 采用12阶线性预测倒谱系数作为识别参数。详细分析了特定人孤立词识别算 法,选定动态时间弯折为识别算法,并重点介绍其设计实现。 在
dtw
- 此文件中包含了语音信号处理的dtw算法,同时囊括了语音的端点检测,mfcc参数提取,动态时间规整三部分,可以直接使用。-This document contains a voice signal processing dtw algorithm, at the same time include voice activity detection, mfcc parameter extraction, dynamic time warping three parts can be used dir
DTW
- Dynamic time warping program. Calculates the similarity between 2 vectors. Audio, Video, Speech Processing. DTW Dynamic Time Warping-DTW
ImprovedDTWAlgorithmInRealtimeSpeaker
- 识别正确率和抗噪性能是语音识别的研究重点,而识别响应速度也是决定系统实用化的关键 文章改进了传统的动态时间弯折算 法结构,将其应用于实时说话人辨识系统中,极大地提高了系统运行速度,随着待识别语音数目的增多,该算法优势更加明显 实验表明, 在不影响系统识别率的情况下,该方法使系统的运行速度平均提高了1.5 倍-Identify the correct rate and the anti-noise performance is the focus of speech recognition
Research_on_DTW-based_speech_recognition_for_voice
- 研究了将语音识别中的 ( 动态时间规整) 算法用于声纹鉴别的技术。通过引入 DTW Dynamic Time Warping, , 由所给的有限个样本建立最大相似于样本点的样本域, 计算被测样本的相似度。该算法提高了语 “样本域”的概念 音鉴别( 区分不同发音者) 的效率。有限人数的实验结果显示该算法辨伪率为 ( 人次) , 识别率 (98.75 400 81~93 80 人次) 。-Will be studied in speech recognition (dynamic
DTW
- Dynamic Time Warping mATLAB code
dtw
- 本资料是自己编写的基于MATLAB语音工具箱的DTW动态时间规整的说话人识别,具有很高的识别率-This information is written in their own voice-based MATLAB toolbox DTW dynamic time warping speaker recognition with high recognition rate
SpeechRecognition_DTW
- Speech Recognition Using DTW This is a English/Persian 0~9 digit and some primary English/Persian command recognition system which use Dynamic Time Warping (DTW). Code is developed in MATLAB 6.5 and can used in Windows platform. Program has two
UP
- ASSOCIATION RULE MINING FOR SEQUENTIAL PATTERN MINING, SPEECH RECOGNITION USING DYNAMIC TIME WARPING
mfccdtw
- 先用端点检测将语音中有用的语音部分提取出来(即将头部和尾部的静音部分除掉),然后用LPC算法提取语音信号的特征参数,进行动态归整(DTW算法)后与模板库里面的标准语音作比较,最后将识别结果进行D/A转化后播放出来。在本部分的设计中,则主要完成语音识别的模式匹配算法部分的软件实现。 -First with the endpoint detection of speech to voice some of the useful extracted from the (soon to mute som
speechrecognition
- 该系统可以实现孤立数字发音的识别,首先对语音信号进行端点检测,提取了语音信号的MFCC特征,进行识别时,运用了动态规整算法。-The system can identify isolated digital sound, the first endpoint detection of speech signals, MFCC extracted voice signal characteristics, identification, the use of dynamic warping alg
kmean
- Speech Reacoginze Project
chengxu
- 基于动态时间规整的语音识别系统研究及其实现,用C语言编程完成-Dynamic time warping-based speech recognition system and its implementation, complete with C language programming