资源列表
speech_vad
- 利用MATLAB来实现语音的分帧及语音端点检测(Using MATLAB to achieve voice segmentation and voice endpoint detection)
kano
- 用matlab演奏卡农，一个matlab的发声小程序(play Cannon using matlab)
train
- 基于BP网络和多特征的语音端点检测，提取自相关函数最大值和频带方差作为BP网络输入，输出判断是否为语音信号。(A Speech Endpoint Detection Algorithm Based on BP Neural Network and Multiple Features)
specsub_modified11
- 语音唤醒就是在设备待机状态下，用户说出特定的语音指令（唤醒词）使设备进入工作状态或完成某一操作。设备为了实现语音唤醒功能，就需要设备实时监听，也就是实时的录音并分析有没有唤醒词来唤醒设备。评价一个语音唤醒系统的标准有三个：唤醒正确率、误报率、功耗。一般情况下，唤醒正确率越高 ，误报率也越高。好的系统就需要唤醒率高，误报率低，功耗低。(Speech wakeup is when the device is in standby mode, the user speaks a particular
ICA
- 本程序音频共有四个，借助鸡尾酒会问题思想，用ica算法实现四个音频的分离(The audio program for a total of four, with the help of the cocktail party problem, realizing the separation of four audio using ICA algorithm)
yuputu2
- 语谱图的横坐标是时间，纵坐标是频率，坐标点值为语音数据能量。由于是采用二维平面表达三维信息，所以能量值的大小是通过颜色来表示的，颜色深，表示该点的语音能量越强。(The spectral abscissa graph is time, the vertical axis is the frequency of speech data for energy point coordinates. Since the two-dimensional information is expressed i
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
code
- MFCC computations and comparison
code 1
- matlab mfcc computation and comparison
code 2
- matlab mfcc comparison and calculations