Description: DTW算法 汉语0~9 语音识别
录音 comp.wav后 执行test.m即可
建议自己录s0~s9 十个模板-DTW 0 ~ 9 Chinese speech recognition after recording comp.wav implementation can be built test.m and recorded their molecule-s9 10 template Platform: |
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Author:胡杨 |
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Description: 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 importance in these applications. Dynamic Time-Warping (DTW) is one of the prominent techniques to accomplish this task, especially in speech recognition systems. DTW is a cost minimisation matching technique, in which a test signal is stretched or compressed according to a reference template.
Although there are other advanced techniques in speech recognition such as the hidden Markov modelling (HMM) and artificial neural network (ANN) techniques, the DTW is widely used in the small-scale embedded-speech recognition systems such as those embedded in cell phones. The reason for this is owing to the simplicity of the hardware implementation of the DTW engine, which makes it suitable for many mobile devices. Additionally, the training procedure in DTW is very simple and fast, as compared with the HMM and ANN rivals.
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Size: 2658304 |
Author:宋小小 |
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Description: HMM与小波神经网络的语音识别系统研究，此系统得到了验证-HMM and wavelet neural network speech recognition system, this system has been verified Platform: |
Size: 281600 |
Author:斯芸芸 |
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Description: 基于人工神经网络的语音识别，运用了从语音中提取出的LPC参数与人工神经网络结合进行识别，使用matlab调试-Artificial neural network based speech recognition, the use of speech extracted from the LPC parameters and artificial neural network to identify, debug using matlab Platform: |
Size: 1024 |
Author:屈庆琳 |
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Description: 基于BP神经网络的语音情感识别系统
神经网络是近年来信息科学、脑科学、神经心理学等诸多学科共同关注和研究的热点。由于其具有良好的抽象分类特性,现已应用于语音识别系统的研究和开发,并成为解决识别相关问题的有效工具。文章在讲述语音识别过程的基础上重点讨论利用BP神经网络对语音进行识别,用MATLAB完成对神经网络的训练和测试,并获得满意的结果。-Based on the BP neural network speech emotion recognition system Platform: |
Size: 8156160 |
Author:edwin |
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Description: 程序中选取了民歌、古筝、摇滚和流行四类不同音乐 ，用 BP 神经网络实现对这四类音乐
的有效分类。(The program selected folk songs, zither, rock and popular four different music, with BP neural network to achieve the effective classification of these four types of music.) Platform: |
Size: 375808 |
Author:云泽99
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Description: 前馈循环神经网络，用于处理语音识别,里面是matlab源代码，以及实例。学习神经网络算法很有帮助。(Feed forward recurrent neural network for speech recognition, which is the matlab source code, and an example. Learning neural network algorithms is very helpful.) Platform: |
Size: 376832 |
Author:骨灰级老年人 |
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Description: BP神经网络基本原理概述：这种网络模型利用误差反向传播训练算法模型，能够很好地解决多层网络中隐含层神经元连接权值系数的学习问题，它的特点是信号前向传播、误差反向传播，简称BP（Back Propagation）神经网络。BP学习算法的基本原理是梯度最快下降法，即通过调整权值使网络总误差最小，在信号前向传播阶段，输入信号经输入层处理再经隐含层处理最后传向输出层处理；在误差反向传播阶段，将输出层输出的信号值与期望输出信号值比较得到误差，若误差较大则把误差信号传回隐含层直至输入层，在各层神经元中使用误差信号修改权值系数，之后进入下一轮迭代，如此循环直至误差最小，实际输出信号值接近期望输出信号值。下图为三层BP神经网络模型：(In pattern recognition, there is a highly practical classification method, which is artificial neural network. It has been successfully applied to intelligent robot, automatic control, speech recognition, prediction estimation, biology, medicine, economy and other fields. It has solved many practical problems which are difficult to solve by many other classification methods. This is due to the many models of neural network, and the corresponding neural network model can be used for different problems. The BP neural network is used to solve the problem of handwritten digital character recognition.) Platform: |
Size: 2048 |
Author:13922237309 |
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Search - speech recognition neural matlab