Humanizing music sequence
AssigneeTampere University Foundation sr
InventorsEsa RÄSÄNEN, Otto PULKKINEN
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AssigneeTampere University Foundation sr
InventorsEsa RÄSÄNEN, Otto PULKKINEN
Estimating the term…
There is provided improved accuracy for humanizing music sequences. A method for a digital audio workstation (DAW) comprises obtaining, by an digital audio workstation, sparse models of human-played music for humanizing a rhythmic structure of a music sequence (S), said sparse models comprising information indicating timing (t′1, . . . , t′n) of sounds (s1, . . . , sn) of a humanized music sequence (S′), selecting, by the digital audio workstation, a model from the obtained sparse models based on at least one of the following: generating for each of the obtained sparse models a score; and selecting the model that has the highest score; or characterizing said obtained sparse models on a user interface of the digital audio workstation, and receiving user input on the user interface indicating the selected model; said method further comprising: adjusting, by the digital audio workstation, based on the selected model, timing information (ti) of the rhythmic structure of the music sequence (S) to comprise an offset (oi); and outputting, by the digital audio workstation, the music sequence (S) comprising one or more adjusted times (ti+oi).
Method for a digital audio workstation (DAW), comprising:
A digital audio workstation comprising at least one processing core and memory comprising computer program code that when executed by the at least one processing core cause:
A non-transitory computer-readable medium storing instructions that, when executed by at least one processor of a digital audio workstation, cause the digital audio workstation to perform a method comprising:
Dependencies are inferred from the claim text.