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TimeSide : audio processing framework for the web
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   :alt: Version

TimeSide is 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.


Use cases
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* 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


Goals
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* **Do** asynchronous and fast audio processing with Python,
* **Decode** audio frames from **any** audio or video media format into numpy arrays,
* **Analyze** audio content with some state-of-the-art audio feature extraction libraries like Aubio, Yaafe and VAMP as well as some pure python processors
* **Visualize** sounds with various fancy waveforms, spectrograms and other cool graphers,
* **Transcode** audio data in various media formats and stream them through web apps,
* **Serialize** feature analysis data through various portable formats,
* **Playback** and **interact** **on demand** through a smart high-level HTML5 extensible player,
* **Index**, **tag** and **annotate** audio archives with semantic metadata (see `Telemeta <http://telemeta.org>`__ which embed TimeSide).
* **Deploy** and **scale** your own audio processing engine through any infrastructure


Funding and support
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To fund the project and continue our fast development process, we need your explicit support. So if you use TimeSide in production or even in a development or experimental setup, please let us know by:

* staring or forking the project on `GitHub <https://github.com/Parisson/TimeSide>`_
* tweeting something to `@parisson_studio <https://twitter.com/parisson_studio>`_ or `@telemeta <https://twitter.com/telemeta>`_
* drop us an email <support@parisson.com>

Thanks for your help!