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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
biase_bp_wave_recogin.rar
- 用BP神经网络对孤立词语音识别Matlab语音仿真过程,BP neural network used for isolated word speech recognition voice Matlab simulation
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
speechcode1
- neural network speech recognition.
yuyinshibie1024
- 基于模糊神经网络的语音识别，输入为测试变量，一直应该是神经网络的各个权值。-Based on fuzzy neural network speech recognition, input for the test variables, neural network should have all the right values.
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
Speech.Recognition.using.Neural.Networks
- Tutorial for speech recognition
Speech_Recognition_using_Neural_Networks
- Speech Recognition using Neural Networks
Using_Radial_Basis_Probabilistic_Neural_Network_f
- Using Radial Basis Probabilistic Neural Network for Speech Recognition
TDNN1
- Speech Recognition with TDNN(Time delay neural network)
Neural
- Automatic Speech Recognition with Neural Network
Speech-Recognition-Using-Neural-Networks
- speech recognision is used to develop automatic speech regonision system and also to normalise it and then map it to a particular user voice.
abbrb
- 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
study-on-speech-
- 就目前三种主流的语音识别算法：动态时间规(DTW)、隐马尔科夫模型(HMM)和人工神经网络(ANN)。分析它们的原理、特点及实现过程，对 DTW 的语音识别进行实验，通过对比分析三种算法的特点，结合本文研究的实际情况，选择 DTW 作为研究的重点，提出利用遗传算法对其进行改进。 -The three mainstream speech recognition algorithms: Dynamic Time Regulations (DTW), hidden Markov model (HM
Speech-Recognition-using-NN-Using-WEKA-Tool
- This good paper on speech recognition using neural networks with WEKA tool-This is good paper on speech recognition using neural networks with WEKA tool
speech-recognition
- 基于带动量项的BP神经网络语音识别，可作为练习的参考-speech recognition based on BP neural network
Neural-networks
- 神经网络进行语音识别：/enframe.m，该函数将输入向量分为固定长度固定重叠量的帧。/SampleCreate.m,将取所有音频的mfcc系数处理成神经网络函数所需的输入格式-Neural networks for speech recognition
hmm-neural
- 使用hmm隐马尔科夫模型 进行语音识别,论文效果不错-Hmm using hidden Markov model for speech recognition
example-of-speech-recognition
- 一个基于带动量项的BP神经网络语音识别的例子-A drive the amount of the BP neural network based speech recognition as an example