Search - mel cepstral coefficients

Search - mel cepstral coefficients - List

[Speech/Voice recognition/combine] melcepst DL : 0: 求mel频率倒谱系数的matlab程序-for mel frequency cepstrum coefficients of Matlab procedures
Update : 2025-02-17 Size : 2kb Publisher : wh
[VC/MFC] GeneralizedMFCCsforlarge-vocabulary DL : 0: Generalized Mel frequency cepstral coefficients for large-vocabulary Speaker-Independent Continuous-Speech Recognition 关于MFCC算法的很好的英语文章-Generalized Mel frequency cepstral coefficients for large-vocabulary Speaker-Independent Continuous-Speech Recognition on the MFCC algorithm is a very good article in English
Update : 2025-02-17 Size : 162kb Publisher : xiang
[Speech/Voice recognition/combine] mfcc DL : 0: 语音处理中用于特征提取，mel倒谱系数法可以反映语音的动态特征。-Voice processing for feature extraction, mel cepstral coefficients method can reflect the dynamic characteristics of voice.
Update : 2025-02-17 Size : 4kb Publisher : 方方
[Speech/Voice recognition/combine] mfcc DL : 0: mfcc mel倒谱系数学习。适合语音识别参数的学习。-mfcc mel cepstral coefficient learning. Parameters for speech recognition learning.
Update : 2025-02-17 Size : 1kb Publisher : 沈立金
[Speech/Voice recognition/combine] 222 DL : 0: 建立了一种基于自组织神经网络的语音识别系统。对语音信号进行了预处理, 提取了语音信号的线性预测系数、线性预测倒谱系数和Mel 倒谱特征系数, 建立了基于自组织神经网络的识别判决模型.-Established a self-organizing neural network-based speech recognition system. Carried out on the speech signal pre-processing, extraction of the speech signal linear prediction coefficient, linear prediction cepstral coefficients and the characteristics of Mel cepstrum coefficient, based on self-organizing neural network model of identification judgments.
Update : 2025-02-17 Size : 112kb Publisher : 张小天
[Speech/Voice recognition/combine] mfcc DL : 0: 采用间接方法提取MEL倒谱，先计算自相关系数，然后由自相关系数计算LPC预测系数和反射系数，再计算LPC倒谱系数，最后由LPC倒谱系数计算MFCC 。-Indirect method of extracting MEL cepstrum, first calculating the autocorrelation coefficient, and then auto-correlation coefficient calculated by the LPC prediction coefficient and reflection coefficient, and then calculating the LPC cepstral coefficients, and finally by the LPC cepstral coefficient calculating MFCC.
Update : 2025-02-17 Size : 3.92mb Publisher : 大夹馅
[Speech/Voice recognition/combine] LPCC DL : 0: 可以在CCS中运行的LPCC程序，包括语音参数分析主函数，信号的自相关函数，由自相关函数计算LPC预测系数，由LPC预测系数计算LPC倒谱系数，由LPC预测系数计算MEl到普系数等函数-CCS can be run at the LPCC procedures, including analysis of voice parameters of the main function, the signal autocorrelation function, autocorrelation function calculated from LPC prediction coefficients, by the LPC prediction coefficients LPC cepstral coefficients, calculated by the LPC prediction coefficients to the S & P coefficients Mel such as function
Update : 2025-02-17 Size : 3kb Publisher : renmay
[Speech/Voice recognition/combine] melmfcc DL : 0: 从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -From the speaker s voice signal to extract the speaker s personality traits is the key to Voiceprint identification. Mainly introduces the speech signal feature extraction method in Mel cepstral coefficients
Update : 2025-02-17 Size : 236kb Publisher : 于高
[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 : 2025-02-17 Size : 1.18mb 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 : 2025-02-17 Size : 2kb Publisher : bradden
[Other] mfcc DL : 0: MFCC algorithm for calculating mel frequenc cepstral coefficients.
Update : 2025-02-17 Size : 3kb Publisher : sid
[matlab] speech_recognition DL : 0: Speech Recognition using MEL cepstral Coefficients
Update : 2025-02-17 Size : 3kb Publisher : ab.m
[Speech/Voice recognition/combine] yuyinshiyupinyufenxi DL : 0: 语音信号的时域频域分析，从短时能量到语谱图，以及线性预测参数和梅尔倒谱系数-Speech signal in time domain frequency domain analysis, from the short-term energy to the spectrogram, and the linear prediction parameters and the Mel cepstral coefficients, etc.
Update : 2025-02-17 Size : 730kb Publisher : 菁菁
[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 : 2025-02-17 Size : 638kb Publisher : kvga
[Speech/Voice recognition/combine] speech DL : 1: 包含语音端点检测，lpc倒谱系数，durbin算法，mel倒谱系数以及复倒谱系数。-Contains the speech endpoint detection, the lpc cepstrum coefficients, durbin algorithm, mel cepstral coefficients and the complex cepstrum coefficients.
Update : 2025-02-17 Size : 3kb Publisher : 康健
[Windows Develop] Fmelmfccr DL : 0: 从说话人的语音信号中提取说话人的个性特征是声纹识别的的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数 -Extracted from the speaker' s voice signal in the speaker' s personality is the key to the voiceprint identification. Introduces the speech signal feature extraction method in Mel cepstral coefficients
Update : 2025-02-17 Size : 236kb Publisher : tb
[Speech/Voice recognition/combine] MFCC-extration DL : 0: 提取MFCC，即美尔倒谱系数，作为语音识别与合成必须的特征向量-Extract MFCC, Mel cepstral coefficients, as voice recognition and synthesis must eigenvectors
Update : 2025-02-17 Size : 9kb Publisher : gg
[Speech/Voice recognition/combine] lpmfcc DL : 1: 非线性特征倒谱系数lpcc与美尔倒谱系数mfcc融合进行说话人识别的程序。-Nonlinear characteristics Cepstral Coefficients lpcc the Mel cepstral coefficients mfcc fusion speaker recognition program.
Update : 2025-02-17 Size : 6kb Publisher : 毛燕湖
[Other] aa DL : 0: 用matlab编写的代码在音频中mel倒谱系数提取-Code written using matlab audio mel cepstral coefficients extracted
Update : 2025-02-17 Size : 4kb Publisher : 覃晓冰
[matlab] 90816794melcepst DL : 0: 梅尔倒谱系数mfcc求法的Matlab代码-Mel cepstral coefficients mfcc Method Matlab code
Update : 2025-02-17 Size : 2kb Publisher : 刘程序

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