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 下载
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对音频文件提取其MFCC特征参数 可用于说话人识别-right audio files from their MFCC parameters can be used to Speaker Recognition 下载
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关于音频分析和合成程序的进一步,处理,提取其特征- 下载
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将原始语音经过预处理，利用频率弯折小波进行特征提取，该程序为求语音信号的Laguerre系数的程序-original voice after pretreatment, the use of the frequency characteristics of Meander wavelet extraction, The procedure for the sake of the voice signal Laguerre coefficient procedures 下载
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这是一个从音频信号里提取特征参量的程序，从事此方面的同志，不妨参考！！-This is a signal from the audio extract features parametric procedures, engaged in this regard, the comrades might reference! ! 下载
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我自己用vc写的语音特征提取程序，执行程序后，在上面的搜索前输入你的音频文件的路径，按搜索就回把把结果存放到e:/tt.dat里面，你还要在e盘建立一个tt.txt文件-I write with vc voice feature extraction procedures, implementation procedures, in the above search before you import the audio files path, according to search put back on the results of the stored e : / tt.dat inside, you want the e-establish a document tt.txt 下载
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本程序包含语音压缩和语音识别领域所需的LPCC，MFCC特征提取算法以及语音端点检测源码。在对语音数据进行特征提取前，可对语音数据进行16K到8K的降采样率处理，包含180阶FIR滤波器的频率压缩程序。-this program includes voice compression and voice recognition requirements in the area of the LPCC Features. MFCC feature extraction algorithm and voice endpoint detection source. In the voice data for feature extraction, voice data can be right for K to 16 K, the reduction of eight sampling rate, contains 180 bands FIR filter frequency compression process. 下载
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本程序包含语音压缩和语音识别领域所需的LPCC，MFCC特征提取算法以及语音端点检测源码。在对语音数据进行特征提取前，可对语音数据进行16K到8K的降采样率处理，包含180阶FIR滤波器的频率压缩程序 - 下载
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本程序包含语音压缩和语音识别领域所需的LPCC，MFCC特征提取算法以及语音端点检测源码。在对语音数据进行特征提取前，可对语音数据进行16K到8K的降采样率处理，包含180阶FIR滤波器的频率压缩程序 - 下载
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本文完成了对唇动身份识别技术几个基本问题的理论研究,并对整个系统加以实现.作为本文研究的实验基础,我们建立了唇动方式身份识别数据库(HITLUDB), 该库目前包含30个说话人每人20个汉语词的音视频语料.数据库的扩充与完善工作仍在不断的进行之中.在嘴唇检测方面, 我们对自适应色度过滤模型进行改进,提高了算法的鲁棒性,完成了对嘴唇的精确定位.结合DCT变换与K-L变换的各自特点, 我们提出了特征提取算法,使用较少维数的特征完成了对嘴唇区域主要信息的刻画.由于唇动信息同时包含了生理特征与行为特征, 我们使用静念动念混合建模的方式,完成了对说话人唇动个性特点的精确描述.在HMM训练时,我们提出了特征的归一化处理方法,提高了HMM在实际应用中的性能. 最后,我们分别对身份辨认系统与身份确认系统的基本理论进行了叙述,并完成了系统的实践工作. 关 键 词：身份识别 唇动 特征提取 隐马尔可夫模型 K-L变换 -paper completed the lip movements identification technology several basic issues of theoretical study, system as a whole be achieved. As this paper, the experimental basis, We have established a dynamic manner lip identification database (HITLUDB) The library currently contains 30 words each of 20 Chinese words, sound and video corpus. and the expansion of the database is still perfect keep going on. Detection of the lips, we adaptive color filter model improvements, improve the robustness of the algorithm, completed a pair of lips the precise positioning. DCT combined with the K-L transform their own characteristics, We have proposed a feature extraction algorithm, use less dimension of the lips completed the main message of regional characterization. As the lip movements of information, 下载
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