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dct_cs
- 采用BP算法来实现压缩感知的信号重构示例。BP算法由线性规划来实现,稀疏基为DCT基,信号为语音信号-an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech
1004
- 介绍基于SVM模型的语音识别方法的处理与研究,通过把SVM 与DCT相结合来进行语音的识别。-Introduced the SVM model based on speech recognition method of treatment and research, through the combination of SVM with the DCT for speech recognition.
SharpICTCLAS
- ICTCLAS分词的总体流程包括:1)初步分词;2)词性标注;3)人名、地名识别;4)重新分词;5)重新词性标注这五步。就第一步分词而言,又细分成:1)原子切分;2)找出原子之间所有可能的组词方案;3)N-最短路径中文词语粗分三步。 在所有内容中,词典库的读取是最基本的功能。ICTCLAS中词典存放在Data目录中,常用的词典包括coreDict.dct(词典库)、BigramDict.dct(词与词间的关联库)、nr.dct(人名库)、ns.dct(地名库)、tr.dct(翻译人名库
The-research-of-anti-niose-speech
- 论文首先介绍了传统的语音特征参数MFCC,它是基于人耳听觉 特性设计的一种特征参数,在静音环境下能得到较高的识别率,但在 信噪比较低时识别率急剧下降,不利于实用化。本文通过对MFCC算 法的分析和研究,发现其中的FFT和DCT在整个时频空间使用固定的 。分析窗,这不符合语音信号特性,而小波变换具有多分辨率特性,更 符合人耳的听觉特性。因此,本文将小波变换和MFCC算法相结合, 提出了三种新的语音识别特-Speech recognition has wide use in
soundDCT
- 读入语音信号并对其进行dct变换进行压缩变换的matlab程序-Reading the speech signal compression transform Matlab procedures and dct transform
1
- 语音信号的压缩感知及其重构 代码 dct-Perception of speech signal compression and reconstruction code dct
DCTxiangguan
- 对语音信号的一幀信号(1024点)进行DCT 对正弦信号进行DCT,对比实验图.修改实验代码,设置阈值,绝对值小于阈值的置0,再反变换看波形. -One frame of the speech signal signal (1024) of the sinusoidal signal to DCT DCT, comparative experiments FIG. Modify experimental code, set the threshold value, the absolut
Non_BlindCox_Watermarking
- a robust non blind audio and speech watermarking in the DCT domain
non blin wateramrking
- a non blind speech and audio watermarking algorithm based on cox insertion method
fft based audio speech watermarking
- a high robust and non blind fft base audio and speech watermarking
Laplace
- 传统的短时谱估计语音增强算法通常假设语音谱分量相互独立,没有考虑语音谱分量间的相关性。针对这 一问题,该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先,假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布,以此利用谱分量间的相关性;在此基础上,利用多元随机矢量的高斯尺度混合模型表 示,推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式;并进一步推导了基于该分布模型的 语音存在概率,对最小均方误差估计子进行修正。实验结果表明,该算法
YY_FZ_DCT_OMP_YC
- 语音信号的DCT变换以及OMP算法重构 -Sensing Reconstruction program is based compressed speech signals Using OMP algorithm to reconstruct speech Framing program includes speech, and omp, programs can be run properly.
DCTshuiyindechengxu
- 其变换矩阵的基向量很近似于托伯利兹矩阵的特征向量,而托伯利兹矩阵又体现了人类语言及图像信号的相关性。因此,DCT常常被认为是语音与图像信号变换的准最佳变换。-The transformation matrix of the basis vectors is approximate to the Vento Belize matrix eigenvectors, and the support matrix of Belize and reflects the relationship betwe
MFCC
- 利用梅爾倒頻譜演算法,計算語音訊號的特徵值。裡面有DCT與三角帶通。(The Mel Cepstrum algorithm is used to calculate the eigenvalues of speech signals. There are DCT and V-belt.)
java-Speech-preprocessing-master
- java实现MFCC系数的提取,包括FFT运算和DCT运算,mel滤波器的设计等(The extraction of MFCC coefficient by Java)