English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Audio production techniques which previously only existed in GUI-constraineddigital audio workstations, livecoding environments, or C++ APIs are nowaccessible with our new Python module called DawDreamer. DawDreamer thereforebridges the gap between real sound engineers and coders imitating them withoffline batch-processing. Like contemporary modules in this domain, DawDreamercan create directed acyclic graphs of audio processors such as VSTs whichgenerate or manipulate audio streams. DawDreamer can also dynamically compileand execute code from Faust, a powerful signal processing language which can bedeployed to many platforms and microcontrollers. We discuss DawDreamer's uniquefeatures in detail and potential applications across music informationretrieval including source separation, transcription, and audio effectparameter inference. We provide fully cross-platform PyPI installers, a LinuxDockerfile, and an example Jupyter notebook.

DawDreamer: Bridging the Gap Between Digital Audio Workstations and Python Interfaces