US Patent Application 18054059. BAYESIAN OPTIMIZATION FOR SIMULTANEOUS DECONVOLUTION OF ROOM IMPULSE RESPONSES simplified abstract
BAYESIAN OPTIMIZATION FOR SIMULTANEOUS DECONVOLUTION OF ROOM IMPULSE RESPONSES
Organization Name
Inventor(s)
Sunil Bharitkar of Stevenson Ranch CA (US)
BAYESIAN OPTIMIZATION FOR SIMULTANEOUS DECONVOLUTION OF ROOM IMPULSE RESPONSES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18054059 titled 'BAYESIAN OPTIMIZATION FOR SIMULTANEOUS DECONVOLUTION OF ROOM IMPULSE RESPONSES
Simplified Explanation
The patent application describes a method for optimizing stimuli parameters using machine learning and applying them to a spatial area with multiple speakers.
- The method uses machine learning to optimize stimuli parameters based on training data.
- It determines the stimuli that can simultaneously excite multiple speakers within a spatial area.
- The stimuli are designed to have the shortest possible duration for accurate deconvolution of the impulse responses of the speakers.
- The method simultaneously excites the speakers by providing the stimuli to all of them at the same time for reproduction.
- It then simultaneously deconvolves the impulse responses of the speakers based on the stimuli and sound measurements recorded by microphones within the spatial area.
Original Abstract Submitted
One embodiment provides a method comprising optimizing one or more stimuli parameters by applying machine learning to training data. The method further comprises determining, based on the one or more optimized stimuli parameters, stimuli for simultaneously exciting a plurality of speakers within a spatial area. The stimuli has a shortest possible duration that is accurate for simultaneous deconvolution of a plurality of impulse responses of the plurality of speakers. The method further comprises simultaneously exciting the plurality of speakers by providing the stimuli to the plurality of speakers at the same time for reproduction. The method further comprises simultaneously deconvolving the plurality of impulse responses based on the stimuli and one or more measurements of sound recorded during the reproduction and arriving at one or more microphones within the spatial area.
