搜索资源列表
MFCC
- 语音识别，建立一个mfc，可以实现文字转语音，可直接运行(Audio feature recognition)
Number Recognition System
- Number Recognition System Using MFCC and Correlation
DigitRecognization
- 矢量量化梅尔倒谱系数孤立词识别，识别说话者声音(speech recognition VQ MFCC)
rastaplp
- Rasta tool box for MFCC and other acoustic features
Experiment No.1.pdf
- calculate mfcc and compare features
YCL
- 对信号进行梅尔倒谱系数特征采集之前的预处理，包括分帧加窗、基于短时能量的双门限判别、除噪、预加重等(The preprocessing of Mel cepstrum coefficients before the signal is carried out, including frame windowing, double threshold discrimination based on short-time energy, denoising and pre emphasis)
audio-compare
- 对语音进行mfcc特征提取，拥有自己的vad模块(MFCC feature extraction of speech, and own VAD module)
PESQ Measure
- This version of the toolbox fixes several bugs, especially in the Gammatone and MFCC implementations, and adds several new functions.
spkID
- 利用mFCC特征提取算法进行语音信号的特征提取，然后利用ＧＭＭ识别出特征人，计算目标得分，程序效果ＯＫ。(The extraction algorithm for feature extraction of speech signal using mFCC features, and then use GMM to identify a specific target, calculate the score, the effect of OK program.)
kmm_mfcc
- 利用MFCC進行特徵截取，在利用KNN進行比對(Feature interception with MFCC and alignment with KNN)
vad
- mfcc-matlab, speech signal using matlab realize the MFCC feature recognition method
matlab语音识别系统(源代码)
- 基于mfcc参数的语音识别，matlab代码，可以对孤立语音词识别(Speech recognition based on MFCC parameters, matlab code, can identify isolated speech words)
rebuilt.HumanTimbre_recognition-master
- 利用mfcc特性进行语音识别，分类算法为svm。(Speech recognition using MFCC characteristics)
HMM with skips and single Diagonal Gaussian
- 以MFCC作为特征参数，利用HMM算法进行语音识别(Speech recognition using HMM algorithm)
SpeechRecognitionHMM-master
- java实现语音信号的识别，利用MFCC等参数和HMM模型(Java realizes the recognition of speech signals, and utilizes MFCC and other parameters and HMM models.)
语音情感识别程序
- 利用matlab来识别语音情感特征，使用mfcc和dtw(Recognition of emotional characteristics of speech)
基于Labview的语音识别程序
- 语音识别代码，基于labview，有labview程序，希望有所帮助(dggfeefadsffsfsagfagdgdsg)
171724210736171
- MFCC：Mel频率倒谱系数的缩写。Mel频率是基于人耳听觉特性提出来的，它与Hz频率成非线性对应关系。Mel频率倒谱系数(MFCC)则是利用它们之间的这种关系，计算得到的Hz频谱特征。(Speech signal feature extraction)
project2
- 基于mfcc和DTW的孤立字词识别源码，可实现简单的语音识别(Based on isolated word recognition and source mfcc DTW can achieve a simple voice recognition)
PNCC语音参数提取
- PNCC语音参数是新一代的语音特征参量，可以看作是对MFCC进阶，研究证明相对MFCC在实际含噪声环境中有更佳鲁棒性能。这里给出原版matlab算法。