Search - mel

Search - mel - List

【Multimedia Develop】 MAYA_MEL DL : 0: maya mel脚本经验总结,包含maya nurbs操作和其他菜单，了解MAYA的基本操作-maya mel script lessons learned, including the operation and other menus maya nurbs to understand the basic operation of MAYA
Update : 2024-04-28 Size : 153600 Publisher : 甚于
【Speech/Voice recognition/combine】 2028 DL : 0: OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik S-OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik SMM
Update : 2024-04-28 Size : 1241088 Publisher : strike
【Speech/Voice recognition/combine】 melbankm DL : 0: 这个函数也要被melcepst函数调用，用来进行计算Mel倒谱系数。这个函数的作用是构造mel滤波器组。-This function must be melcepst function call is used to calculate Mel cepstral coefficients. The role of this function is to construct a mel filter bank.
Update : 2024-04-28 Size : 2048 Publisher : bradden
【Other】 mfcc DL : 0: MFCC algorithm for calculating mel frequenc cepstral coefficients.
Update : 2024-04-28 Size : 3072 Publisher : sid
【matlab】 MELCEPST DL : 0: MATLAB下计算Mel倒谱的函数，在语音特征提取方面常用-Mel cepstrum calculated under MATLAB functions used in the speech feature extraction
Update : 2024-04-28 Size : 2048 Publisher : lixiang
【matlab】 speech_recognition DL : 0: Speech Recognition using MEL cepstral Coefficients
Update : 2024-04-28 Size : 3072 Publisher : ab.m
【Other】 mel DL : 0: maya 中用mel语言编写的一个小插件，实现创建螺旋曲线-maya mel language using a small plug-in, create a spiral curve to achieve
Update : 2024-04-28 Size : 1024 Publisher : cg
【matlab】 MelCepstrumCoefficients DL : 0: 求梅尔倒谱系数的matlab程序，主程序是melcepst。-Mel Cepstrum Coefficients seeking matlab program, the main program is melcepst.
Update : 2024-04-28 Size : 9216 Publisher : st
【matlab】 melfilter DL : 0: melfiltter function use for speech recognition and have mel filter bank
Update : 2024-04-28 Size : 2048 Publisher : nill
【matlab】 filterbank DL : 0: The idea of a filterbank on a non-linear(mel) frequency scale-filter bank for mel
Update : 2024-04-28 Size : 2048 Publisher : lou
【matlab】 mfcc DL : 0: MEL FREQUENCY CEPSTRAL COEFFCIENT
Update : 2024-04-28 Size : 3072 Publisher : seo wan
【matlab】 melfilter DL : 0: 实现mel空间滤波,得到mel滤波器组的系数矩阵-mel-spaced filter
Update : 2024-04-28 Size : 2048 Publisher : gaofeng
【SCM】 imm3851 DL : 0: 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.
Update : 2024-04-28 Size : 653312 Publisher : kvga
【matlab】 melfiltersel DL : 0: coding for generating a mel filter bank for a given frequency vector
Update : 2024-04-28 Size : 1024 Publisher : samsom
【Crack Hack】 mfcc_computation DL : 0: mel frequency cepstal coeff algorithm n program
Update : 2024-04-28 Size : 89088 Publisher : matlab
【matlab】 fmel DL : 0: from frequency to mel frequency
Update : 2024-04-28 Size : 368640 Publisher : mar
【matlab】 melfiltermatrix DL : 0: compute mel filter coefficients
Update : 2024-04-28 Size : 1024 Publisher : vo thanh liem
【Speech/Voice recognition/combine】 gmfcc DL : 0: 语音识别的特征参数提取算法——Mel倒谱参数提取（MFCC）可以作为语音识别特征参数。-Speech recognition feature extraction algorithm- Mel cepstrum extraction (MFCC) feature parameters as speech recognition.
Update : 2024-04-28 Size : 1024 Publisher : 林锡海
【Speech/Voice recognition/combine】 MFCC DL : 0: 对输入的语音序列x进行MFCC参数的提取，返回MFCC参数和一阶差分MFCC参数，Mel滤波器的阶数为24,fft变换的长度为256，采样频率为8000Hz，对x 256点分为一帧. -The voice of the input MFCC parameters on the sequence of x, return to MFCC parameters and extracted a order difference MFCC parameters, Mel filter for the order number 24, the length is 256 FFT transform, 8000Hz sampling frequency for to x 256 points, into a frame.
Update : 2024-04-28 Size : 4096 Publisher : mzh
【Speech/Voice recognition/combine】 speech-recognition DL : 0: 语音识别系统，包括预处理，汉明窗，梅尔频率倒谱率，离散余弦变换，前置滤波器组，对数能量，滤波器组，基本的滤波器组，dtw-speech recognition system，including Pretreatment, Hamming window, Mel frequency cepstrum rate, discrete cosine transform, pre-filter, log energy, filter, basic filter，dtw
Update : 2024-04-28 Size : 6144 Publisher : 刘文龙

« 1 2 34 5 6 7 8 9 10 ... 16 »