# speech_feature_extractor

**Repository Path**: wangbaorui/speech_feature_extractor

## Basic Information

- **Project Name**: speech_feature_extractor
- **Description**: Some useful features of speech process, such as MFCC, gammatone filterbank, GFCC, spectrum(power spectrum and log-power spectrum), Amplitude Modulation Spectrum(AMS) and so on.
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2019-11-13
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 2018-05-27 Update Feature Extractors and Utils
All implemented feature extractors have been written in the file ‘feature_extractor.py’. Please use this file for the newest version.
# Speech Feature Extractors
1. Features include: MFCC, GFCC, gammatone filterbank, Power Spectrum, Log-Power Spectrum, Amplitude Modulation Spectrum(AMS, two version), Short-Time-Fourier-Transfer Spectrum.
2. Utils include: Ideal Binary Mask, Ideal Ratio Mask, Speech synthesis method, Mixer by dB
3. Normalizer include: zero-to-one normalizer, unit-vector normalizer.