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lunwen1
- 关于情感识别方面的论文，主要讲了基于hmm和ann的识别方法
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
Peter_Howell_Stevie_Sackin_and_Kazan_Glenn
- Peter Howell, Stevie Sackin, and Kazan Glenn Development of a Two-Stage Procedure for the Automatic Recognition of Dysfluencies in the Speech of Children Who Stutter: II. ANN Recognition of Repetitions and Prolongations With Supplied Word Segment M
ANNSpeechRecognition
- ANN for Speech Recognition How to info
HMM
- HMMC代码实现，可以给些ANN辅助实现方面的参考意见啊-HMMC code implementation, can give some support to achieve aspects of ANN inputs to ah
VCANN
- 人工神经网络中部分组成文件VC程序，包括头文件、前向传播、反向传播等等。-Some of the components of an ANN written by VC.
speech_recognition
- Speech Recognition based on a-Speech Recognition based on ann
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