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Open-source alternatives to Sfs Python
18 open-source projects similar to sfstoolbox/sfs-python, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Sfs Python alternative.
- librosa/librosa
librosa/librosa
8,200GitHub पर देखेंLibrosa 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
Pythonaudiodsplibrosa - robbert-vdh/nih-plug
robbert-vdh/nih-plug
2,634GitHub पर देखेंnih-plug is an audio plugin SDK and development framework providing a set of tools and traits for processing audio and MIDI data in a real-time safe environment. It functions as a cross-format plugin wrapper, allowing a single implementation to be exported into multiple industry-standard audio plugin formats, including VST, CLAP, and LV2. The project includes a retained-mode GUI framework for creating interactive user interfaces and parameter controls for audio processors. It also provides a real-time audio library that utilizes hardware acceleration and asynchronous task management to mainta
Rustclapframeworknih-plug - leandromoreira/digital_video_introduction
leandromoreira/digital_video_introduction
16,232GitHub पर देखेंThis project is an educational suite and technical guide designed for mastering video codecs and signal processing. It provides a structured curriculum through an engineering course, interactive labs, and tutorials focused on the fundamental principles of video compression and digital signal processing. The resource includes a technical guide for analyzing specific codecs like AV1, VP9, and H.265. It distinguishes itself by providing a containerized media lab, which ensures a consistent development environment for experimenting with video technology tools and notebooks. The project covers a
Jupyter Notebookadaptive-streamingarithmetic-codingaudio
