Feature Extraction
梅尔·声谱图,米FCC, pitch, spectral descriptors
Extract features from audio signals for use as input to machine learning or deep learning systems. Use individual functions, such asmelSpectrogram
,mfcc
,pitch
, andspectralCentroid
, or use theaudioFeatureExtractor
对象创建一个特征提取tha管道t minimizes redundant calculations. In live scripts, useExtract Audio Featuresto graphically select the features to extract.
Objects
audioFeatureExtractor |
Streamline audio feature extraction |
ivectorSystem |
Create i-vector system |
Live Editor Tasks
Extract Audio Features | Streamline audio feature extraction in the Live Editor |
Functions
Blocks
Audio Delta | Compute delta features |
Auditory Spectrogram | Extract mel, Bark, or ERB spectrogram from audio |
Cepstral Coefficients | Extract cepstral coefficients from spectrogram |
Design Auditory Filter Bank | Design frequency-domain auditory filter bank |
Design Mel Filter Bank | Design frequency-domain mel filter bank |
Mel Spectrogram | Extract mel spectrogram from audio |
MFCC | Extract mel-frequency cepstral coefficients from audio |
Topics
- Feature Selection for Audio Classification
Perform audio feature selection to select a feature set for either speaker recognition or word recognition tasks.
- Spectral Descriptors
Overview and applications of spectral descriptors.
- Learn Pre-Emphasis Filter Using Deep Learning
Use a convolutional deep network to learn a pre-emphasis filter for speech recognition.