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[Speech/Voice recognition/combine] lunwen1 DL : 0: 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
Date : 2008-10-13 Size : 4.12mb User : 啊柄
[Speech/Voice recognition/combine] lunwen1 DL : 0: 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-On the emotion identification papers, the main speaker hmm-based identification methods and ann
Date : 2026-01-08 Size : 4.12mb User : 啊柄
[Speech/Voice recognition/combine] Great_Outdoors_by_sandals82 DL : 0: 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.
Date : 2026-01-08 Size : 2.54mb User : 宋小小
[Speech/Voice recognition/combine] Peter_Howell_Stevie_Sackin_and_Kazan_Glenn DL : 0: 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 Markers J Speech Lang Hear Res, Oct 1997 40: 1085 - 1096 -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 Markers J Speech Lang Hear Res, Oct 1997 40: 1085- 1096
Date : 2026-01-08 Size : 578kb User : ongwc
[Speech/Voice recognition/combine] ANNSpeechRecognition DL : 0: ANN for Speech Recognition How to info
Date : 2026-01-08 Size : 1.35mb User : TR
[Speech/Voice recognition/combine] HMM DL : 0: 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
Date : 2026-01-08 Size : 28kb User : 陆雨
[Speech/Voice recognition/combine] VCANN DL : 0: 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.
Date : 2026-01-08 Size : 6kb User : saishangniuyang
[Speech/Voice recognition/combine] speech_recognition DL : 0: Speech Recognition based on a-Speech Recognition based on ann
Date : 2026-01-08 Size : 118kb User : NIket
[Speech/Voice recognition/combine] study-on-speech- DL : 1: 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 (HMM) and artificial neural network (ANN). Analysis of their principles, characteristics and implementation process, DTW speech recognition experiment, by comparing the characteristics of the three algorithms, combined with the actual situation of this study, select the DTW as the focus of the study, proposed the use of genetic algorithms to improve it.
Date : 2026-01-08 Size : 1.04mb User : lumeng