Methods and systems for training and providing a machine learning model for audio compensation
AssigneeTrebble Technologies
InventorsFinnur Pind, Jesper Pedersen
Life of this patent
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Abstract
A computer implemented method for training a machine learning model for audio compensation includes: receiving 3D models of a plurality of rooms, each of the 3D models comprising at least one sound source and at least one acoustic property; receiving a plurality of impulse responses at a listening position in each of the plurality of rooms, training the machine learning model for audio compensation using at least the plurality of impulse responses as input. Methods and systems using the disclosed computer implemented method and its features are also disclosed.
Claims29
A computer implemented method for training a machine learning model for audio compensation, the method comprising:
- receiving 3D models of a plurality of rooms, each of the 3D models comprising at least one sound source and at least one acoustic property,
- receiving a plurality of impulse responses at a listening position in each of the plurality of rooms,
- training the machine learning model for audio compensation using at least the plurality of impulse responses as input.
A system for training a machine learning model for audio compensation, the system comprising:
- a computer system having a processor coupled to a memory, the processor configured to:
- receive 3D models of a plurality of rooms, each of the 3D models including at least one sound source and at least one acoustic property;
- receive a plurality of impulse responses at a listening position in each of the plurality of rooms;
- and
- training the machine learning model for audio compensation using at least the plurality of impulse responses as input.
Dependencies are inferred from the claim text.