librosa/librosa
Librosa
Librosa is a Python audio analysis library and digital signal processing framework. It functions as a feature extraction suite and music information retrieval tool designed to analyze the structural and sonic characteristics of audio signals.
The library provides specialized capabilities for music analysis, including dynamic tempo tracking to identify rhythmic pulses and spectral feature extraction to compute harmonic spectra, chroma variants, and onset points. It also serves as a time-series audio processor for synchronizing audio streams.
The system covers a broad range of audio processing and analysis domains, including audio source separation, signal segmentation, and rhythmic analysis. It implements computational primitives for spectral transforms and temporal alignment to organize and retrieve music information.
Features
- Digital Signal Processing - Provides a comprehensive digital signal processing framework for transforming, analyzing, and manipulating audio data.
- Audio Spectral Features - Computes frequency-based representations to identify chroma variants, harmonic spectra, and onset points.
- Audio Processing Libraries - Provides a Python-based library for extracting structural and sonic features from audio signals.
- Audio Stream Synchronizers - Implements time-series processing to synchronize audio streams and track dynamic tempo variations through warping techniques.
- Audio Feature Extraction - Extracts meaningful sonic characteristics and patterns from raw audio data, including spectrograms and filter banks.
- Dynamic Tempo Tracking - Tracks the dynamic tempo and rhythmic pulse of audio signals to identify beat patterns.
- Signal Processing - Implements a full signal processing framework for spectral analysis, source separation, and time-stretching.
- Fourier Transforms - Provides short-time Fourier transforms to convert time-domain audio signals into frequency-domain representations.
- Audio Analysis Tools - Provides utilities for extracting musical attributes, including identifying the rhythmic pulse and tracking tempo changes over time.
- Source Separation Tools - Implements tools for decomposing multichannel audio mixtures into individual components using linear algebraic projections.
- Audio Recording Synchronization - Synchronizes two different audio recordings in time using warping techniques to account for tempo variations.
- Audio Segmentation Utilities - Divides audio streams into distinct sections using mathematical segmentation to identify structural changes.
- Phase-Vocoder Resampling - Implements phase-vocoder resampling to change audio duration while preserving the original pitch.
- Dynamic Time Warping - Provides dynamic time warping algorithms to align audio sequences by non-linearly stretching or compressing the time axis.
- Computer Audition - Library for music and audio signal analysis.
- Music Information Retrieval - General-purpose audio and music analysis library.
- Audio Libraries - Python package for music information retrieval and analysis.
- Audio and Video Processing - Analyzes audio and music signals for feature extraction.
- Audio Processing - Tools for audio and music signal analysis.
- Audio Video Processing - Listed in the “Audio Video Processing” section of the Awesome Python awesome list.
- Media and Communication - Audio and music analysis library.
