搜索资源列表
SPECTRUM_LMS
- 1、文件夹中包含了经典功率谱估计和自适应均衡算法两个实验的所有程序。 2、R.m、LMS.m、LMSmain.m为自适应均衡算法的程序： R.m用来计算输入信号的自相关矩阵及其特征值； LMS.m为时域LMS算法，用统计的方法仿真得出不同信道参数和不同步长下的学习曲线； LMSmain.m为实验主程序，按照实验要求中的具体数据得到实验结果和曲线。 3、functionx.m、fzhouqitu.m、spectrum.m、bt.m、bart_lett.m、welch.m、SPE
voicematlab
- 语音信号预处理matlab程序，在7.0上运行通过，可以做实验参者代码。-Matlab voice signal pre-processing program, run through the 7.0, you can experiment with participation by the code.
part1
- TIMIT声音数据库1，这个数据库包含了实验的所有声音-TIMIT sound database, the database contains all sound experiment
bianyiyuanli
- 我的编译原理实验，包括一个词法分析器，一个酸腐优先的语法分析器，一个语义分析器-I compiled the experiment, including a lexical analyzer, a priority酸腐parser, a semantic analyzer
soundin
- ％ this a experiment that input is done using the sound card ％2003,6,3 ％Usage:[second,voltage,frequency,magnitude]=soundin (VoiceFrequencyFactor,rate) ％VoiceFrequencyFactor is set as 1/8 and rate as 8000, when the Frequency is ％ below 40hz ro
radiocode
- 综合实验，数字录音机。试验目的：了解数字录音技术的基本原理。连接电路，MIC输入接ADC0809通道IN2，DAC0832输出接扬声器。编程以每秒钟5000次的速率采集IN2输入的语音数据并存入内存，共采集60000个数据（录12秒），然后再以同样的速率将数据送DAC0832使扬声器放音。-Comprehensive Experiment, digital tape recorders. Test Objective: To understand the digital recording te
a_novel_speake_identification_system_based_on_GMM_
- 文中详细介绍了一种基于GMM 与 SVM的说话人识别系统。包括特征提取，算法实现及实验数据。对语音处理及说话人识别技术的研究者很有帮助。-Introduce a novel speake identification system based on GMM and SVM,with feature extract,algorithm research and experiment data.This doc would be helpful to those who are working on
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
ImprovedDTWAlgorithmInRealtimeSpeaker
- 识别正确率和抗噪性能是语音识别的研究重点，而识别响应速度也是决定系统实用化的关键 文章改进了传统的动态时间弯折算 法结构，将其应用于实时说话人辨识系统中，极大地提高了系统运行速度，随着待识别语音数目的增多，该算法优势更加明显 实验表明， 在不影响系统识别率的情况下，该方法使系统的运行速度平均提高了1.5 倍-Identify the correct rate and the anti-noise performance is the focus of speech recognition
technofysica_sets_small_tudelft
- 比较经典的机械振动信号，分为高频、中频和低频，可用在实验中-This is a typical vibration signal, it includes high frequency, middle frequency and low frequency. It also can be used in the experiment
Speech_Adaptin_using_MLLR_and_MAP
- 说话人自适应是提高非特定人语音识别系统识别性能的有效手段，本文针对非母语说话人，结合常规的白适应技术MLLR和MAP，探索云南纳西族和傈僳族两种母语说话人的汉语普通话语音识别问题，实验结果显示有显著效果。-Speaker adaptation is a powerful means of improving the performance of speakerindependent speech recognition system．Aimed at Yunnan minority Naxi a
Exp16
- 音频实验！ 音频实验！ -Audio experiment! Audio experiment! Audio experiment! Audio experiment!
lab_intro
- 很不错的一种语音分析方法,可以指导相关的语音实验，非常的实用，欢迎大家尽情的下载吧。-a very nice Voice analysis method，it Can guide relevant speech experiment, very practical, welcome everybody to download all of it.
DM642-yuyinliubo
- 语音滤波及其实验，基于DM642的实验的滤波-Voice filter and experiment, experiment based on the DM642 filter
hclftest
- 本程序是一个语音回放的实验。 运行程序，对着话筒讲话，等待几秒钟，耳机里会反复重复所讲的话。 -This program is an audio replay of the experiment. Run the program, Duizhaohuatong speech, waiting a few seconds, the headphones will be repeating the words spoken.
Speech-signal-short-time-analysis
- 语音信号预处理matlab程序，在7.0上运行通过，可以做实验参者代码（包括：lpc 谱、短时谱分析、短时过零率、短时能量等）-Matlab voice signal pre-processing program, run through the 7.0, you can experiment with participation by the code.
yuyinduanshichuli
- 语音信号预处理matlab程序，在7.0上运行通过，可以做实验参者代码（包括：lpc 谱、短时谱分析、短时过零率、短时能量、语音端点检测等）-Matlab voice signal pre-processing program, run through the 7.0, you can experiment with participation by the code.
study-on-speech-
- 就目前三种主流的语音识别算法：动态时间规(DTW)、隐马尔科夫模型(HMM)和人工神经网络(ANN)。分析它们的原理、特点及实现过程，对 DTW 的语音识别进行实验，通过对比分析三种算法的特点，结合本文研究的实际情况，选择 DTW 作为研究的重点，提出利用遗传算法对其进行改进。 -The three mainstream speech recognition algorithms: Dynamic Time Regulations (DTW), hidden Markov model (HM
mfccPSVM
- 本实例程序是基于matlab的语音识别程序，通过提取传统的MFCC特征集，采用当前流行的SVM分类器，作为对比实验是一个不错的选择。-This example program is popular SVM classifier matlab speech recognition program to extract MFCC feature set, as a comparative experiment is a good choice.
MFCCPHMM
- 本实例程序是基于matlab的语音识别程序，通过提取传统的MFCC特征集，采用HMM分类器，作为对比实验是一个不错的选择。-This example the program matlab speech recognition program to extract MFCC feature set, the HMM classifier, as a comparative experiment is a good choice.