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[Mathimatics-Numerical algorithms] based_on_DTW DL : 0: DTW算法在实现小词汇表孤立词识别系统时既简单又有效 ,在特定的场合下获得了广泛的应用。但DTW算法实际应用时有许多缺点 ,本文对语音识别数学模型DTW作了深入的研究 ,提出了改进算法
Date : 2008-10-13 Size : 211.29kb User : 在式朝
[Mathimatics-Numerical algorithms] simulator_for_DTW DL : 0: 传统的DTW算法在进行孤立词语音识别时着重于时间规整和语音测度的计算 , 而没有对数据的可靠性和有效性进行分析。本文提出了一种改进的端点检测算法 , 并采用一种改进的 DTW算法 , 在计算机上进行了仿真。实验结果表明采用改进后的DTW算法有效的降低了识别时间和存储数据量 , 提高了系统性能
Date : 2008-10-13 Size : 360.7kb User : 在式朝
[Mathimatics-Numerical algorithms] based_on_DTW DL : 0: DTW算法在实现小词汇表孤立词识别系统时既简单又有效 ,在特定的场合下获得了广泛的应用。但DTW算法实际应用时有许多缺点 ,本文对语音识别数学模型DTW作了深入的研究 ,提出了改进算法-DTW algorithm in small vocabulary isolated word recognition system is simple and effective, in particular occasions to obtain a wide range of applications. However, the practical application of DTW algorithm when there are many shortcomings, this paper, the mathematical model for speech recognition DTW-depth studies were made to improve the algorithm
Date : 2026-01-01 Size : 211kb User : 在式朝
[Mathimatics-Numerical algorithms] simulator_for_DTW DL : 0: 传统的DTW算法在进行孤立词语音识别时着重于时间规整和语音测度的计算 , 而没有对数据的可靠性和有效性进行分析。本文提出了一种改进的端点检测算法 , 并采用一种改进的 DTW算法 , 在计算机上进行了仿真。实验结果表明采用改进后的DTW算法有效的降低了识别时间和存储数据量 , 提高了系统性能-Traditional DTW algorithm in isolated word speech recognition when the focus on the time warping and voice measure of calculation, but not on the reliability and validity of data for analysis. This paper presents an improved endpoint detection algorithm, and using an improved DTW algorithm, the computer simulation. The experimental results show that the use of the improved DTW algorithm effectively reduces the recognition time and storage amount of data, improved system performance
Date : 2026-01-01 Size : 360kb User : 在式朝
[Mathimatics-Numerical algorithms] dtw DL : 0: DTW的VB实现，利用动态规划的方法实现，经过调试，自己编写的，
Date : 2026-01-01 Size : 1kb User : 蒋阳波
[Mathimatics-Numerical algorithms] DTW-Algorithm DL : 0: 动态时间规整算法是一种运用动态规划原理计算时间矢量相似度的方法在语音识别等领域有着广泛的应用窗口法是针对算法的特点采用了动态高效的空间管理办法解 - !"# 决了通常的算法需要存储一个较大的矩阵因而在存储空间有限的硬件系统中难以实现的问题窗口法已经在实际系统中得到了应用 -Dynamic time warping algorithm is a calculation using the principle of dynamic programming time for vector similarity methods in areas such as in speech recognition has a wide application window for the algorithm is characterized by the use of a dynamic and efficient approach to space management solution- ! "# Summary algorithms usually need to store a large matrix and therefore of limited storage space in the hardware system of the problem difficult to achieve in the window system has been in practice has been applied
Date : 2026-01-01 Size : 88kb User : sdc
[Mathimatics-Numerical algorithms] DTW DL : 0: 在线签名鉴定，用AR实现算法和DTW算法实现，还包括一个比较综合的实例，对此方面研究的朋友有用处，这是官方书籍中附带的一个源程序。-On-line signature verification, using AR algorithm and DTW algorithm, but also includes a more comprehensive example of research in this area is useful friends, this is the official book accompanying a source.
Date : 2026-01-01 Size : 130kb User : baby
[Mathimatics-Numerical algorithms] project DL : 0: DESIGNING OF A SPEAKER RECOGNITION IN MATLAB
Date : 2026-01-01 Size : 224kb User : wave
[Mathimatics-Numerical algorithms] onli_qianming DL : 0: 多种算法实现的C++在线签名鉴定,用AR实现算法和DTW算法实现，还包括一个比较综合的实例-A variety of algorithms to achieve C++ online signature verification, using AR algorithm and DTW algorithm, also includes examples of a more comprehensive
Date : 2026-01-01 Size : 128kb User :
[Mathimatics-Numerical algorithms] DTW1 DL : 0: 英文的有关DTW算法的优秀论文两遍，对编写DTW算法很有帮助！-English DTW algorithm for the best essay about twice the preparation of the DTW algorithm is helpful!
Date : 2026-01-01 Size : 637kb User : luoxiao
[Mathimatics-Numerical algorithms] DTW_audio DL : 0: 线性规划dtw 语音识别，附带测试音频文件-Linear Programming dtw speech recognition, audio files come with a test
Date : 2026-01-01 Size : 2.33mb User : 郑黎力
[Mathimatics-Numerical algorithms] dynamic_time_warping_v2.1 DL : 0: 动态时间规划基本算法，matlab实现。(Dynamic time warping)
Date : 2026-01-01 Size : 3kb User : rickPPD
[Mathimatics-Numerical algorithms] DTW DL : 0: 动态时间规整用于语音识别对齐和对比，例子是librosa 提取MFCC 特征，用DTW比较识别(Dynamic time warping is used for speech recognition, alignment, and contrast. The example is librosa, which extracts MFCC features and compares them with DTW)
Date : 2026-01-01 Size : 208kb User : kay_1990