搜索资源列表
simplespeech
- SimpleSpeech是一个使用HMM的自动语音识别系统。对象是研究的学生和对自动语音识别有兴趣的研究工作者。-SimpleSpeech HMM is a use of the Automated Voice Recognition System. The object is to study the students and Automatic Speech Recognition to interested researchers.
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
FreeSpeech-0.1.2.tar
- 语音识别方面的开发包，有助于设计HMM，NN和VQ。它是开放源码的。-the development kits, contribute to the design of HMM, NN and VQ. It is open source.
Recognition-System
- ：建立了一个基于HMM 算法的非特定人语音识别系统，阐述了具体实现过程，包括预处理、特征参数的提取及模板的匹配-: The establishment of a non-specific algorithm based on HMM Speech Recognition System, describes a specific implementation process, including preprocessing, feature extraction and template para
ATK
- 语音识别 隐马尔可夫HMM开发工具HTK的API函数包 ATK 请大家下载.-An Application Toolkit for HTK developed by Cambridge University
SVM_for_classfication
- 一个基于HMM的说话人识别的源程序程序和列子-Copy all files in Matlab current directory and type "speakerrecognition" on Matlab command window. After unzipping the file correctly, you will find two folders, TRAIN and TEST, each contains some files, named: S
speechRHMM
- HMM语音识别的matlab程序，举了1-9几个数字的例子，对语音识别的程序进行了验证-HMM Speech Recognition program， cited the example of figures 1-9, the speech recognition process was validated
HMMshuziyuyinshibie
- 这是基于HMM的数字语音识别，实现了0到9 的识别，并带有GUI界面，可以进行录音和播放，预处理，识别结果准确，并附有音频-This is a digital speech recognition based on HMM identification of 0-9, with a GUI interface and recording box player, there are pretreatment, accurate identification, together with audio
ISpeech-recogs
- 基于HMM的孤立词语音识别别程序，非常有用。可直接使用。 -Isolated word HMM-based speech recognition procedures, very useful. Complete source code can be used directly.
speech_recognition_based_on_HMM
- 基于hmm的matlab程序，能够识别0—9十个数字-Hmm based on the matlab program, be able to identify dozens of figure 0-9
keyword-chouqu
- 基于逆向最大匹配算法的分词及基于HMM模型的词性标注系统，包括了未登录词的识别、数据库的添加等内容。（需要手动修改数据库的路径才可以运行）-Reverse Maximum Matching Algorithm Based on the sub-word HMM-based model and part of speech tagging system, including the unknown word identification, such as the contents of the d
jiyuneirongdeyinpinjiansuoyan
- 本文根据上述的研究，采用基于Mel倒谱系数特征的隐马尔可夫模型对音 乐进行分类。在音乐特征提取方面，以感知特征和Mel倒谱系数组成特征向量 在音乐分类方面，以隐马尔可夫模型作为分类器，对音乐进行聚类和分类。通过 有监督的学习方式进行聚类，分类时将测试样本归入似然值最大的类别，对同一 音频抽取若干样本，对样本识别结果采用投票法，判定该音频的音乐类别，使分 类的准确率得到进一步的提高。根据上述方法进行了仿真实验，并对实验结果进 行了分析。本文将音频数据分为5类，对4种分类器
qianhouxiangsuanfa
- 语音识别中必须用到的算法前后项算法代码已经通过测试完毕-This file contains a summary of what you will find in each of the files that make up your HMM application
htk-3.3
- 剑桥大学开发的hmm的工具包，引用于语音识别，是现在流行的工具
HMM_Training_in_speech
- 改进的HMM训练方法在语音识别中的应用,论文-Improved HMM training methods in speech recognition applications, papers
cdhmm
- 现下实用的 语音识别的一些算法，包括hmm参数提取-just do it
unusual-event-detect
- 基于HMM模型的轨迹识别监控系统稀有事件。-Identify the trajectory HMM model based control system rare event.
recognize
- 孤立词的HMM语言识别算法，能够运行，忘能帮到大家-HMM isolated word speech recognition algorithm, able to run, forget the help to everyone
moshi
- 模式识别 语音识别 多维智能接口 h-hmm