spafe
Audio feature extractor
A Python library for extracting audio features from mono audio files using various filter banks and spectrogram algorithms.
spafe: Simplified Python Audio Features Extraction
461 stars
11 watching
79 forks
Language: Python
last commit: 8 months ago
Linked from 1 awesome list
audioaudio-analysisbeatdspfeatures-extractionfilterbankfrequenciesfrequencyfrequency-analysisgammatone-filterbanksmfccmusicmusic-information-retrievalpitchpythonsignal-processingsoundspeech-processingtime-frequency-analysisvoice
Related projects:
Repository | Description | Stars |
---|---|---|
| A Python library for generating multiple audio files based on a starting mono audio file with various effects such as speed change, tone alteration and noise addition. | 83 |
| Provides tools and libraries for extracting speech features from audio data. | 881 |
| A Python audio signal processing library used in music information retrieval tasks. | 1,366 |
| A tool for extracting audio features from digital audio files | 244 |
| Reconstructs audio features learned by convolutional neural networks into audible sounds | 42 |
| A comprehensive Python library for feature extraction, classification, segmentation, and applications of audio data. | 5,918 |
| A system for audio classification and detection using machine learning models | 4 |
| A portable, lightweight library providing a set of audio feature extraction functions that can be cascaded to create complex extraction hierarchies. | 227 |
| A Python library for handling audio datasets, providing tools for accessing, manipulating, and preparing data for machine learning tasks. | 133 |
| An audio analysis tool that extracts and visualizes features from live audio streams using FFTs. | 976 |
| Identifies sounds in short audio clips using machine learning and PCA transformation | 154 |
| A Python module for digital signal processing and audio synthesis, allowing users to create complex audio chains in real-time. | 1,329 |
| An audio processing toolbox with a graphical interface and built-in modules for sound effects and synthesis. | 228 |
| This project provides an implementation of a deep learning framework to classify audio signals and offers insights into the model's decision-making process using Explainable Artificial Intelligence (AI) techniques. | 351 |
| Library for audio data augmentation used in machine learning | 1,903 |