TimeSide core API

TimeSide is first a python framework enabling low and high level audio analysis, imaging, transcoding, streaming and labelling. Its high-level API is designed to enable complex processing on very large datasets of any audio or video assets with a plug-in architecture, a secure scalable backend and an extensible dynamic web frontend. Some usecases: scaled audio computing (filtering, machine learning, etc), web audio visualization, audio process prototyping, realtime and on-demand transcoding and streaming over the web, automatic segmentation and labelling synchronized with audio events

Because there are a lot of tools available in the Python ecosystem dedicated to music information retrieval, machine learning and data analysis, we have decided to embed all main ones: Aubiocite{aubio}, Yaafecite{yaafe_ISMIR2010}, Essentiacite{essentia}, VAMPcite{vamp-plugins}, librosacite{librosa}, GStreamer, TensorFlow, Torch, PyTorch, scikit-learn, Jupyter, Pandas and Pytables. They are used to develop native TimeSide plugins though its simple processing API.

• List of available processors
  • Encoder
  • Decoder
  • Grapher
  • Analyzer
  • ValueAnalyzer
  • Effect
• Decoder package
  • File Decoder
  • Array Decoder
  • Live Decoder
• Analyzer package
  • Analyzer Core module
  • Analyzers processors
  • Analyzer preprocessors
• Encoder package
  • Core module
  • Encoders
• Grapher package
  • Core module
  • Graphers
• Provider package
  • Core module
  • Providers