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进程管理器---一个SDK的例子
- I:\\CSDN技术中心 进程管理器---一个SDK的例子-I : \\ CSDN Technology Center process management -- for example an SDK
10-1snoopy
- 该程序是非特定人语音识别程序，原来在SPCE500A下运行，能识别并应答16个命令，存储空间为128K字节。 //我们将其进行了修改，使其能在SPCE061A下运行，由于存储空间为32K字，只能识别并应答9个命令。 //在这个例程当中，我们示范了如何使用语音识别引擎对8个已经经过训练的命令进行识别。 //第一个命令 \"Snoopy\"，可以作为使能命令，也就是说使用者只能在该命令之后发出其他命令。 //例如，用户只有在发出 \"Snoopy\"命令并且听到响应\"Snoopy here\"之后
10-2guard
- 程序名：Guard.c //该程序是特定人语音识别 //在程序中通过三条语句的训练演示特定人连续音识别，其中第一条语句为触发命令。 //在程序开始首先训练触发命令，然后提示训练两条命令，训练完毕开始语音识别。 //当识别出触发名称后，发布命令则会听到应答-procedures Name : Guard.c / / The procedure is a specific person voice recognition / / procedures adopted by the three ph
WAVE文件格式剖析
- WAVE文件作为多媒体中使用的声波文件格式之一，它是以RIFF格式为标准的。RIFF是英文Resource Interchange File Format的缩写，每个WAVE文件的头四个字节便是“RIFF”。WAVE文件由文件头和数据体两大部分组成。其中文件头又分为RIFF／WAV文件标识段和声音数据格式说明段两部分。WAVE文件各部分内容及格式见附表。-WAVE as a multimedia documents used in the acoustic format, it is based
JAVA的声音处理方法 (转自伊氏女人)-----淘特网
- 数字音频格式有很多种，其质量与采样频率和采样精度两个参数有关。频率的表示单位为赫兹〔Hz〕，它表示每秒采样次数。采样频率越高，音质就越好。采样精度为每次采样所存储的数据数量，它决定每个数字信号所能够表示的离散振幅的数量。存储每个样本的数据越多，音质就越好。但是高品质的声音需要占用大量的内存和磁盘空间。考虑到网络带宽，在Internet连接上传输就需要花费很长的时间。对于Applet来说，保证声音文件的最小化是极为重要的。-digital audio format there are many,
Hidden Markov Models for Speech Recognition-lect19
- HMM模型在语音识别中的应用，相信对HMM模型感兴趣的语音或图像等专业人员应该明白价值。-It is about Hidden Markov Models (HMM) method in Speech Recognition research. those interested in HMM or speech/image processing should know it s value.
Labview--for-audio
- 在Labview环境中对声卡编程，实现音频信号的测试和分析-In Labview programming environment for audio, the audio signal testing and analysis
SpeakerRecognition
- Speaker Recognition by training GMM models for the speakers in the system. Also tells if there s an impostor in the system.
SpeechProsodyAnalysisTools
- 用于语音信号分析的matlab源代码，包括谐波分析，声强分析，音源分析等 This software consists of a series of Matlab routines useful for various aspects of prosodic analysis of speech, in particular F0 and harmonic analysis, loudness analysis, and voice-source analysis. -For voi
lpc
- linear predictive coding (LPC) is widely used for speaker recognition.
HMM
- hidden markove modeling for text dependent speaker recognition
toolbox_dimreduc
- This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction. * PCA : classical Principal Componnent Analysis (linear projection). * Nonlinear dimensionality reduction by locally linear embedding
HMMforspeechrecogntion
- 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc
Sample1
- 语音识别预处理函数，简单的算法，用于对语音预处理的了解。matlab代码-Speech recognition preprocessing function, a simple algorithm for preprocessing of speech understanding. matlab code
FEATURE-SELECTION-FOR-A-DTW-BASED
- FEATURE SELECTION FOR A DTW-BASED SPEAKER VERIFICATION SYSTEM
relaxed-statistical-model-for-speech
- This file is about, Relaxed Statistical Model for Speech Enhancement and A Priori SNR Estimation
Source-Channel-coding-for-CELP-Speech-coders---J.
- Speech coders for noisy channels, linear predictive coders background, pitch estimation based on chaos theory, vector quantiser and the missing data problem, vector quantiser design for spectral information, trellis vector excitation, analysis of tre
Feature-Extraction-and-SVM-Classification-for-Spe
- Feature Extraction for Speech Processing and SVM Classification of Voice Samples. This package contains Feature Extraction and Classification Matlab codes and some turkish voice records.
system-for-telephone-voice
- C语言源码!企业电话语音录音管理系统企业电话语音录音管理系统,随着市场竞争的日益激烈,各个企业都想尽办法完善对客户的服务,电话客户服务便是企业推出的一项举措,通过电话与客户联系业务,-C language source code! Enterprise management system for telephone voice recording enterprise management system for telephone voice recording, with the increa
codes-for-DWT-based-speech-recognition
- this a matlab code for speech recognition using discrete wavelet transform. code is working very well and good for future research work.-this is a matlab code for speech recognition using discrete wavelet transform. code is working very well and good