搜索资源列表
Lpcanddtw
- 本程序运用matlab做的语音识别，包含语音检测，滤波-the procedures used Matlab to do voice recognition, including voice detection, filtering, etc.
MMSE_IC
- 基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波-based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter
spec_subm
- 自适应滤波算法，可用于语音降噪等前端处理-adaptive filtering algorithms can be used for voice, and other front-end noise
lsm_filter
- 基于LMS算法的滤波型算法的源代码，包含有对学习曲线的刻画。迭代后的输出曲线。-LMS algorithm based on the filtering algorithm source code contains the learning curve is given. Iterative the output curve.
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
calman
- 卡尔曼滤波matlab程序，希望大家能够用的到。-Kalman filtering Matlab procedures in the hope that we can use that.
WienerScalart96
- Wiener滤波matlab程序,望多多指教.-Wiener filtering process, and hopes the exhibitions.
MainScript
- 语音信号进行瞬时维纳滤波的程序,进行信号的去噪处理以便于识别或后续过程-speech signals instantaneous Wiener filtering procedures, signal denoising for identification or follow-up in the process
basicmatlablmsrls.tar
- MATLAB 的自适应滤波酸法的集合，共大家参考 呵呵 儿童 -MATLAB adaptive filtering acid pool, a total of reference Oh children
matlabRLSLMS
- matlab 自适应滤波 lms很好的-Matlab adaptive filtering lms good!
wienerlvbogai
- 维娜滤波算法，降噪语音残留音乐噪声很小，可惜失真还是有点大-Wei-na filtering algorithm, noise reduction Voice small residual noise music, but it is somewhat large distortion
rlsandlmscom2
- LMS滤波与RLS滤波的比较ＭＡＴＬＡＢ源码-LMS filtering and filtering of RLS MATLAB source
wineryulmslvbo
- 构造一组被噪声污染的方波或三角波数据，试选取适当的FIR滤波器结构和参数，分别应用LMS,DFT/LMS和DCT/LMS算法来实现自适应滤波器，对改组数据进行滤波，并分析仿真结果。-Construction Group was one of the Noise Pollution square or triangular wave data, Examination choose appropriate FIR filter structure and parameters, applicat
jiangzao2
- 语音降噪的M程序，原信号加噪声，进行滤波得出原始信号-M procedures, the original signal plus noise, obtained the original signal filtering
mpsound
- 录制一段个人自己的语音信号。对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；对语音信号进行加噪和去噪处理，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号；实现快录慢放、慢录快放等功能。-Record a person' s own voice signal. Of the recorded signal sampling draw sample after the speech signal time-domain waveform
speech-enhancement
- 本资料涵盖了几乎所有的语音增强方面的方法，主要有谱减法，听觉掩蔽，最小均方误差，维纳滤波以及一些非主流的方法，这些对于研究语音增强的人来说是很有帮助的-The data cover almost all aspects of speech enhancement methods, the main spectral subtraction, auditory masking, minimum mean square error, Wiener filtering as well as some
kalman
- 该程序是卡曼滤波法在语音处理上的应用,能有效的去除噪声,达到语音增强的目的!-The program is Kaman filtering method in the voice processing application, can effectively remove the noise, to achieve the purpose of speech enhancement!
iirsinglefnoise
- 首先提取语音信号，并对其加单频噪声，设计IIR滤波器，滤除单频噪声，显示滤除前后时域波形的对比，并播放滤除后的语音信号。-First, extract the speech signal, and add single-frequency noise, design IIR filters to filter out single-frequency noise. Display the time-domain waveform before and after filter, and pl
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