搜索资源列表
kannumfcc
- Return mfcc fromsound waveform
笫3章程序
- 语音的同态处理、离散余弦变换、MFCC的分析和处理(Homomorphic processing of speech, analysis and processing of MFCC)
Speech recognition using mfcc and lpc
- Speech recognition using mfcc and lpc in matlab
MFCC
- Extracting speech signal Mel frequency cepstral coefficients
MFCC
- 在MATLAB中完成对语音的梅尔倒谱系数的提取(Extraction of Mel cepstrum coefficients)
audmfcc
- speech recognition using MFCC as a feature extraction Method
mfcc
- mfcc matlab program to compare it with the htk mfccc
code
- MFCC computations and comparison
code 1
- matlab mfcc computation and comparison
code 2
- matlab mfcc comparison and calculations
An
- 语音端点检测，一种基于MFCC的余弦值单门限值检测方法，适用于低SNR环境(Speech endpoint detection, a single threshold value detection method based on the cosine value of MFCC, suitable for low SNR environment)
audio_java
- python提取的乐器MFCC特征，调用TensorFlow 接口预测音频类别(Python extraction of the musical instrument MFCC features, calling the TensorFlow interface to predict the audio category)
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.)
Feature extraction
- Feature extraction papers related to MFCC use in speech recognition
03_mfcc.pdf.tar
- MFCC 原理介绍资料，适合进行说话人识别。(MFCC algorithms descr iption ppt, use to attach MFCC.)
预处理和mfcc
- 里面有两个程序已经调试成功，其一是语音预处理，其二是语音特征参数提取：mfcc(Preprocessing of speech signa)
MFCC0
- 关于语音特征的提取，MFCC梅尔倒谱系数，挺有效的。。。。(Speech feature extraction, MFCC Mel cepstrum coefficient)
语音聚类示例
- 实验示例是基于语音中的mfcc，语音倒谱特征来进行聚类，先利用训练样本来计算训练样本聚类中心（用到了lbg算法），之后再进行分类。 注意：使用代码时需要自己更改文件路径。(This example is based on the MFCC in speech and the feature of speech Cepstrum to cluster. First, the training sample is used to calculate the training sample clus
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)
mfcc
- 通过语音识别对类型进行分类，使用HMM-GMM模型(Classification is done by speech recognition, using HMM-GMM model.)