Description: HYMN文章管理系统v1.0（后台程序） 系统介绍： 1，新闻采用在线编辑器（本人改进版），从别的网页copy过来，连接和图片、falsh等可以完整保留 2，可web上传图片，小音频，视频信息或flash到服务器，直接添加到文章中 3，大部分逻辑处理都封装在java-bean，界面修改容易 4，栏目分类采用树形编码方式，无限制级别 5，完善的权限管理方式，可为每个用户自定义后台权限-HYMN article Management System v1.0 (background process) system introduced : one, using online news editor (I improved version), from the other website copy up connections and pictures, stuff that can complete two reservations, web upload pictures, audio small, as or flash frequency information to the server, directly added to article 3, the most logical processing package, the java-bean, interface easy modification four columns using classification tree encoding, unlimited-5, improve the competence of management, for each user-defined background competence Platform: |
Size: 713841 |
Author:肖洋 |
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Description: 数字水印技术模型表示及其算法研究辛海涛(哈尔滨商业大学计算机应用与工程学院，黑龙江哈尔滨15(1028)摘要：随着多媒体技术和网络技术的广泛应用，对图像、音频、视频等多媒体内容的保护成为迫切的问题“数字水印作为版权保护的重要手段和一种新型的信息隐藏方法，近几年得到了迅猛发展”．对当前数字水印分类，典型原理和算法，水印的提取、检测，数字水印以及相关技术做了论述，并对未来的研究方向作出展望．-digital watermarking technology model and algorithm research said Xin Hai- (commercial Harbin University of Engineering and Computer Application Hospitals, Harbin, Heilongjiang, 15 (1028) Abstract : With the multimedia and network technology to the broad application right images, audio, Video and other multimedia content protection has become an urgent issue "digital watermarking, as copyright protection, and an important means of a novel Information Hiding, in the past few years has been the rapid development. " Digital watermarking on the current classification, a typical principles and algorithms The watermark extraction, detection, digital watermarking and related techniques are discussed and future research directions prospects. Platform: |
Size: 280576 |
Author:ghostsx |
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Description: 音频流提取 音频特征提取 音频分类 可用于说话人模型训练,静音,音乐和背景音的分类-Audio Streaming Audio extraction feature extraction can be used for classification of Audio speaker model training, quiet, Music and background noise classification Platform: |
Size: 5646336 |
Author:安安 |
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Description: 自己写的提取音频信号mfcc参数的算法，用matlab实现，欢迎大家参考-Write their own audio signal MFCC extraction algorithm parameters, using matlab to achieve, welcome to the reference Platform: |
Size: 3072 |
Author:zhaodapeng |
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Description: audio analysis
基本的音频处理函数 用于音频分类和分割-audio analysis of basic audio processing function for audio classification and segmentation Platform: |
Size: 39936 |
Author:Yu Gong |
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Description: 关于音频分类实现办法的论文。可利用C++实现其分类思想。-On the way to realize the audio classification of papers. Can make use of C++ Realize thinking of their classification. Platform: |
Size: 427008 |
Author:常斯白 |
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Description: For an audio vector, it returns audio features needed to detect voice activity, os useful to other audio classification. Platform: |
Size: 1024 |
Author:defghia |
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Description: Used on cellular phones to filter out
background noise. Measure the signal to noise ratio of an audio input in realtime. Pass speech but give silence where the input is noise (hiss, snap crackle and pop).
Includes a tutorial on how to use statistics (correlation coefficient) to calculate the signal to noise ratio.
Realtime implementation using Texas Instruments TMS320C5510 DSK and TMS320C6713 DSK. Code mostly in C, except where it would be too slow and assembly language is used. Platform: |
Size: 1053696 |
Author:ivan |
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Description: mpeg 7标准中关于音频的部分。包括各种特征描述子的定义和分类方法。-mpeg 7 audio standard on the part. Feature descriptor including the definition and classification. Platform: |
Size: 1471488 |
Author:龚嵘 |
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Description: This project describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segments. In this work, audio recordings are divided into acoustically similar regions and classified into basic audio types such as speech, music or silence. Audio features used in this project include Mel Frequency Cepstral Coefficients (MFCC), Zero Crossing Rate and Short Term Energy (STE). These features were extracted from audio files that were stored in a WAV format. Possible use of features, which are extracted directly from MPEG audio files, is also considered. Statistical based methods are used to segment and classify audio signals using these features. The classification methods used include the General Mixture Model (GMM) and the k- Nearest Neighbour (k-NN) algorithms. It is shown that the system implemented achieves an accuracy rate of more than 95 for discrete audio classification.-This project describes the work done on the development of an audio segmentation and classification system. Many existing works on audio classification deal with the problem of classifying known homogeneous audio segments. In this work, audio recordings are divided into acoustically similar regions and classified into basic audio types such as speech, music or silence. Audio features used in this project include Mel Frequency Cepstral Coefficients (MFCC), Zero Crossing Rate and Short Term Energy (STE). These features were extracted from audio files that were stored in a WAV format. Possible use of features, which are extracted directly from MPEG audio files, is also considered. Statistical based methods are used to segment and classify audio signals using these features. The classification methods used include the General Mixture Model (GMM) and the k- Nearest Neighbour (k-NN) algorithms. It is shown that the system implemented achieves an accuracy rate of more than 95 for discrete audio classification. Platform: |
Size: 653312 |
Author:kvga |
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Description: 基于鼓模式的受限玻尔兹曼机的音频分类
能够将不同音乐器材所发出的声音进行训练后进行分类-Drum patterns based restricted Boltzmann machine audio classification can be different the sound of musical instruments can be trained to classify Platform: |
Size: 58368 |
Author:王士库 |
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Description: 语音特征信号识别是语音识别研究领域中的一个重要方面,一般采用模式匹配的原理解
决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果.-Speech characteristic signal recognition is an important aspect in the field of speech recognition research, generally USES pattern matching the original understanding
Definitely. Operation process of speech recognition are as follows: first, after waiting for voice recognition into electrical signal input and recognition system, after pretreatment
Mathematical method was used to extract speech signal, and extracts the phonetic characteristics of signals can be as the segment of speech patterns. And then the
Audio model compared to a known reference model, get the best match the reference pattern for this speech recognition results. Platform: |
Size: 375808 |
Author:吴军 |
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Description: 用于音频分类的matlab程序，供大家下载学习。-Matlab program for audio classification, for everyone to download learning. Platform: |
Size: 1673216 |
Author:高瑞 |
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Description: 本文档包含了对视频分类的方法论文，先提取视频中音频信息和图像信息，然后进行拼接并使用PCA进行降维处理，最后使用高斯联合模型进行学习和分类-This document contains papers on the video classification method, first extract the video audio information and image information, and then stitching using PCA dimension reduction, and finally the use of joint Gaussian model for learning and classification Platform: |
Size: 272384 |
Author:dwj |
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Search - audio classification