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wizgrav / clubber

Application of music theory in audio reactive visualizations
http://wizgrav.github.io/clubber
MIT License
360 stars 26 forks source link

mobile / other browser comptibility #7

Closed MacroMachines closed 6 years ago

MacroMachines commented 6 years ago

reference Meyda audio feature extraction library, somehow they managed to make it work on mobile and barely compatible browsers. https://github.com/meyda/meyda

MacroMachines commented 6 years ago

they use the script processor node : https://medias.ircam.fr/x8fbaf8

wizgrav commented 6 years ago

Correct me if I misunderstood, I recently integrated clubber for a client using an offline webaudio context and the script processor. The only thing one needs to do in this case is passing the appropriate time in clubber. Eg if the processor consumes 256 samples at a time and the context is 44.1 Khz the call should be clubber.update(256/44.1). Other than that the offline context could be passed to clubber to create the analyzer inside it but you can also pass the frequency data manually as the second argument to clubber.update(), no need to listen() any element in this case

wizgrav commented 6 years ago

Closing this as the script processor node is supported