搜索资源列表
HTK-3.0.tar
- 用于语音识别，基于HMM模型，用C++语言编写。可用连续语音识别-It is based on HMM Model and developed with C++ which could be used to continuous speech recognition.
VAD-DTW-HMM
- 端点检测和基于DTW和HMM的孤立词识别和连续语音识别-endpoint detection and DTW-based HMM and isolated word recognition and Continuous Speech Recognition
sphinx4-1.0beta-src
- 第四代sphinx，基于java的连续语音识别。鼎鼎大名的李开复的作品。-fourth generation Sphinx, the java-based continuous speech recognition. The best known of Kai-fu Lee works.
sphinx4-1.0beta-bin
- sphinx4-1.0beta-bin，连续语音识别用的，java编写。-sphinx4 - 1.0beta-bin, continuous speech recognition with the preparation of java.
HDecode-3.4-alpha.tar
- 大规模连续语音识别工具，比较实用。可以做实际建模-large-scale continuous speech recognition tools, more practical. Modeling can do practical
一种噪声环境下连续语音识别的快速端点检测算法
- 一种噪声环境下连续语音识别的快速端点检测算法，格式ｖｉｐ-a noisy environment for the rapid identification voice endpoint detection algorithm format vip
HTKSpeechRecognition
- HTK语音识别.rar 连续中文数字语音识别-HTK Speech Recognition. Rar continuous speech recognition of Chinese numbers
VoiceRecognitionMarkovianMatlab
- 基于马尔科夫链的连续语音识别的源代码Matlab源码--Speech Recognition Matlab source code--
robot
- 语音识别系统 -- 机器人语音控制系统 零,一,二,三,四,五,六,七,八,九,执行,各关节归零,大臂正转,大臂反转,小臂正转,小臂反转,手腕正转,手腕反转,手爪张开,手爪闭合,上升,下降,大臂运行,大臂负运行,小臂运行,小臂负运行,手腕运行,手腕负运行,手爪运行,手爪负运行,升降运行,升降负运行,大臂归零,小臂归零,手腕归零,手爪归零,升降归零,速度加,原点记忆,系统复位,示教盒,暂停,急停,回原点,速度减,区号加,区号减,单步再现,周期再现,连续再现,返回,继续,数据记忆,读取数据,设置
lianxuyuyindemuxinjianli
- 基于隐而马可夫的连续语音识别中声学模型的建立及其实现-Based on Hidden Markov and continuous speech recognition acoustic model and its realization
endpointdetection
- 语音检测的目的是在一串连续的记录信号中将重要的信息分离出来。在电信应用领域，语音检测是必需的。对于自动语音识别，端点检测在分离重要语音信息时是必需的，这样可以产生语音模式或语音模板。-Voice detection is aimed at a string of consecutive records of information important signal will be separated. At the field of telecommunications applications
feitedingren
- 两篇很好的非特定人语音识别论文，《非特定人连续数字语音识别研究》 《非特定人连续语音识别的理论、分析和实验》 ，NH文件格式，中国知网付费下载，-Two very good people of non-specific speech recognition thesis, " non-person for a specific figure of speech recognition research," " people of non-specific theory
main
- 语音识别的实现程序，主要着重于 连续语音，对初学者和程序员都有帮助-The realization of speech recognition procedures, focusing on continuous speech, for both beginners and programmers to help
voicerecognition
- 一篇非常好的做语音识别的文章，关于连续语音识别的欢迎分享-A very good voice recognition to do article, please share
Speech_Recognition_in_Emedded_System
- 嵌入式连续语音识别系统研究,是一篇优秀硕士论文，有一定的参考价值。-Embedded Continuous Speech Recognition System, is an excellent master' s thesis, there is a certain reference value.
090417-xiaoxi
- 介绍汉语连续语音识别的一些理论，以及研究现状，适合初学者-Introduced a number of Chinese continuous speech recognition theory, and research the status quo, suitable for beginners
cdhmm
- 连续隐马尔可夫模型cdhmm,多用于语音识别中，在文本相关的语音识别中，识别效果很好。-cdhmm
Hmm
- 语音识别技术的最终目标是要让计算机能与人自由交谈。目前，连续语音识别技术正趋于成熟，语音识别也延伸出了诸多实用化的研究方向。今后，语音识别的重点将集中在自然话语识别与理解、实时语音识别和语音识别鲁棒性等方面。作为一门交叉学科，语音识别所涉及到的技术有信号处理、模式识别、概率论和信息论、发声机理、听觉机理和人工智能等。-The ultimate goal of speech recognition technology is to make computers and allowing other
a1
- 基于动态贝叶斯网络的连续语音识别框架及其Token传递模型-Dynamic Bayesian Network Based Continuous Speech Recognition Framework and its Token transfer model
NatureDeepReview
- 深度学习允许由多个处理层组成的计算模型来学习具有多个抽象层次的数据表示。这些方法极大地提高了语音识别、视觉对象识别、目标检测以及药物发现和基因组学等许多领域的最新进展。深度学习发现复杂的结构在大数据集，通过使用反向传播算法来指示一台机器应该如何改变其内部参数，用于计算在每一层的代表性，从上一层的代表。深层卷积网在处理图像、视频、语音和音频方面取得了突破性进展，而递归网络则在文本和语音等连续数据上起到了作用。(Deep learning allows computational models th