搜索资源列表
dtwglcgx
- 基于DTW算法的孤立字识别系统。用Matlab编程实现语音信号的端点检测,从原始信号提取有效语音段,从而实现孤立字的识别。-isolated word recognition system. Matlab programming in endpoint detection, signal extraction from the original effective voice, thus achieving an isolated word recognition.
Wiener
- 这是一个wiener滤波程序,对语音信号滤波。里面有详细的word文档说明-This is a wiener filtering process to filter the speech signal. There are detailed notes word document
dtwpaper
- 采用DTW(动态时间规整)的方法,实现简单语音(0-9的数字)的识别-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 en
xiaocihuiliang
- 小词汇量语音识别比较好的毕业设计论文,《小词汇量非特定人孤立词语音识别的FPGA实现 》《小词汇量汉语孤立词语音识别的理论与技术研究》,NH文件格式,是中国知网上的论文。-Small vocabulary speech recognition comparison best graduate design thesis, " non-specific small-vocabulary isolated word speech recognition people of the FPGA
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
softwarecode
- 中文分词是中文信息处理中的重要环节,中文分词技术广泛应用于自动翻译、文本检索、语音识别、文本校对、人工智能以及搜索引擎技术等领域。中文分词算法的选择,中文词库的构建方式,词库中词条的完备性在很大程度上与中文分词系统性能紧密相关。-Chinese word segmentation in Chinese information processing is an important part of Chinese word segmentation technology is widely used
DTW
- DTW(Dynamic Time Warping,动态时间归整)算法,该算法基于动态规划(DP)的思想,解决了发音长短不一的模板匹配问题,是语音识别中出现较早、较为经典的一种算法。用于孤立词识别,DTW算法与HMM算法在训练阶段需要提供大量的语音数据,通过反复计算才能得到模型参数,而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中,DTW算法仍然得到广泛的应用。 -DTW (Dynamic Time Warping, dynamic time warping) algorithm
MFCCmatlab
- 语音mfcc特征参数提取matlab代码,粘贴在Word中,希望对大家有用-mfcc
sdarticle(1)
- 孤立词语音识别系统的技术研究,有关孤立词识别的基础和识别的技术研究-Isolated word speech recognition system technology, based on isolated word recognition and identification technology
The-voice-signal-processing-
- 基于matlab的语音信号处理,word整体打包-The voice signal processing based on matlab
asdwsa
- 一种孤立词语音识别方法An isolated word speech recognition method research-An isolated word speech recognition method research
bp
- 基于bp神经网络的孤立词识别,有训练好的鼓励词,是语音识别的基础。-Isolated word recognition based on bp neural network trained to encourage word speech recognition.
999999
- 实现马尔科夫的语音识别功能 可以实现连续语音识别,孤立词识别-Of Markov s voice recognition capabilities can achieve continuous speech recognition, isolated word recognition
speechbox
- 工具箱中包含台湾清华大学张星智教授的三个语音信号处理工具箱,还有常用的voicbox以及一份详细讲解如何添加工具箱的word教程。-Toolbox contains the word tutorial Tsinghua University of Professor Zhang Xingzhi three voice signal processing toolbox used voicbox explain in detail how to add a toolbox.
Tone-Recognition
- 调信息在汉语语音识别中具有非常重要的意义。采用支持向量机对连续汉语连续语音进行声调识别实 验,首先采用基于Teager能量算子和过零率的两级判别策略对连续语音进行浊音段提取,然后建立了适合于支持向 量机分类模型的等维声调特征向量。使用6个二类SVM模型对非特定人汉语普通话的4种声调进行分类识别,与 BP神经网络相比,支持向量杌具有更高的识别率。-Tone is an essential component for word formation in Chinese languages
HMM-isolated-word-speech-recognition
- 一种基于隐马尔科夫模型的孤立词的的语音识别实验,可以试验0到9的数字语音识别。-An isolated word speech recognition experiment based on the hidden Markov model, can test 0 to 9 digit speech recognition.
语音识别最新
- 用matlab仿真神经网络语音识别系统,里面用的是数字0-9作为训练模板,神经网络匹配模式(use the matlab to simulate word recognition system with neural network)
基于DTW算法的语音识别系统
- 通过语音分帧、端点检测、特征提取、DTW算法,实现多字语音识别(Through speech segmentation, endpoint detection, feature extraction and DTW algorithm, multi word speech recognition is realized.)
project2
- 基于mfcc和DTW的孤立字词识别源码,可实现简单的语音识别(Based on isolated word recognition and source mfcc DTW can achieve a simple voice recognition)
voice recogn
- 数字信号处理 简易人机对话 说话人识别 单词识别(Speaker Recognition Word Recognition in Simple Man-machine Dialogue Based on Digital Signal Processing)
