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hmodeinitial
- 加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法-deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods
lmodeinitial
- 加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法-deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods
aligning
- 一个雷达距离像对齐的小程序，其中有距离像的归一化，对齐等四个步骤，我的源码，欢迎下载-radar distance as a small alignment procedures, as there is a gap between the uniform, the four alignment steps My source, welcomed downloaded
FCM_HCM
- 模糊识别的一种分类方法，属于模糊C均值方法，里面包括了算法与具体步骤。欢迎下载-fuzzy identification of a classification method is Fuzzy C - Means, includes the algorithm and the concrete steps. Welcome to download
introduceHTK
- 从HTK的历史，到功能，使用步骤等介绍了htk，有助于全面了解语音开发工具HTK-From the HTK history, to the function, use the steps, etc., introduced htk, contribute to a comprehensive understanding of voice-development tools, HTK
pedometer-1.4
- Pedometer应用用于记录你每天走路步数的。尽管记录不一定精准，但是从这个项目中，可以学习几个不同的技术：加速器交互、语音更新、后台运行服务等。-Pedometer application used to record your daily walk, the number of steps. Although the record is not necessarily accurate, but from this project, you can learn several differ
Labview-luyinxitong
- 基于Labview的双声道语音录制系统，内涵报告，解释制作步骤。-Labview-based two-channel audio recording system, meaning the report, explained production steps.
voicedialsystem15487465996
- 这是基于HTK的语音拨号系统搭建,里面有很详细的步骤-This is based on the HTK voice dialing system structures, which had a very detailed steps
DTWspeech
- 本 文 首先 介绍了语音识别的研究和发展状况，然后循着语音识别系统的 处理过程，介绍了语音识别的各个步骤，并对每个步骤可用的几种方法在实 验基础上进行了分析对比。研究了语音信号的预处理和特征参数提取，包括 语音信号的数字化、分帧加窗、预加重滤波、端点检测及时域特征向量和变 换域特征向量.其中端点检测采用双门限法.通过实验比对特征参数的选取， 采用12阶线性预测倒谱系数作为识别参数。详细分析了特定人孤立词识别算 法，选定动态时间弯折为识别算法，并重点介绍其设计实现。 在
novelspeechrecognitionmodelforarabic
- it is a document that explain speech recognition model in araboc language where explain steps for the speech recognition and how to implement it in arabic language
trakwindowgenerator
- It is simple program to create windowing parameters used to prepare samples in next steps of my master thesis program. Function used to generate parameters are taken from wikipedia ttp://en.wikipedia.org/wiki/Window_function
HTK_Workshop_2009
- 这是一个关于HTK下构建语音识别的系统。操作步骤很详细！可以轻松入门-This is a building on the HTK Speech Recognition under the system. Steps in great detail! Getting Started is easy
step01-12
- 基于HTK的PYTHON脚本，严格按照HTK BOOK指南中的步骤编写。好理解、好用、好扩展。值得下载。-PYTHON scr ipt based on the HTK, HTK BOOK strict accordance with the steps in the preparation of guidelines. Good understanding, easy to use, good extension. Worth downloading.
SpeechPSDK-step
- microsoft speech sdk 使用步骤 很详细，一步一步叫你开发语音识别程序-microsoft speech sdk to use the steps in detail, step by step, you develop voice recognition program called
Delphi
- 网上语音数据传输的Delphi实现技术,该文详细论述了delphi实现即时语音传输的基本步骤-Online voice of Delphi to achieve data transmission technology, the paper discusses in detail the realization of real-time voice transmission delphi basic steps
LD3320
- 语音芯片LD3320的调试资料介绍，以及具体步骤-LD3320 voice chip debug information on, and the specific steps
Kalmanflt
- filter for denoising noisy speech (corrupted by white noise). Kalman filtering of noisy speech usually have two steps: Estimating the AR parameters of speech segment
02_i-vector_system_with_ALIZE3.0.tar
- 为了更好地理解说话人确认和ALIZE工具的基础知识，我们推荐仔细阅读i-vector教程，因为它也包含functionnalities 这不是在其他部分描述的，也可以是有用的。 该程序包括基于ALZIE的i向量的说话人识别的指导步骤。-For a better understanding of the basics of speaker verification and the ALIZE toolkit, we recommand to read the i-vector tuto
Sound-Effect-board
- 这份报告概述了项目修改语音信号与各种不同的效果。实现的效果是一个呼应,相移和残余阈值剪裁。的分析过程和技术参与实施这些技术也提供了一个洞察整个项目选择背后的原因。这份报告将细分一个语音信号的分解步骤,将段到频域,估计谱包络,操纵信号以不同的方式,然后回到回放的时间域。附录中提供一份项目以及示例输出结果。还提到可能的扩展项目,可能会增强其功能和团队的建议进行这些增强功能。-This report outlines a project to modify a speech signal with v
anglecos
- 利用夹角余弦距离进行样本数据分类。实现步骤主要分为以下两部分：a、待测样品X与训练集里每个样品Xi的距离采用夹角余弦距离公式计算。b、循环计算待测样品和训练集中各已知样品之间的距离，找出距离待测样品最近的已知样品，该已知样品的类别就是待测样品的类别。-Using the sample data classification Angle cosine distance.Implementation steps are divided into the following two parts: a,