Amazon technologies, inc. (20250016499). SOUND SOURCE LOCALIZATION USING ACOUSTIC WAVE DECOMPOSITION: Difference between revisions
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==Inventor(s)== | ==Inventor(s)== | ||
[[:Category:Mohamed Mansour of Cupertino CA | [[:Category:Mohamed Mansour of Cupertino CA US|Mohamed Mansour of Cupertino CA US]][[Category:Mohamed Mansour of Cupertino CA US]] | ||
==SOUND SOURCE LOCALIZATION USING ACOUSTIC WAVE DECOMPOSITION== | ==SOUND SOURCE LOCALIZATION USING ACOUSTIC WAVE DECOMPOSITION== | ||
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This abstract first appeared for US patent application 20250016499 titled 'SOUND SOURCE LOCALIZATION USING ACOUSTIC WAVE DECOMPOSITION | This abstract first appeared for US patent application 20250016499 titled 'SOUND SOURCE LOCALIZATION USING ACOUSTIC WAVE DECOMPOSITION | ||
==Original Abstract Submitted== | ==Original Abstract Submitted== |
Latest revision as of 08:26, 25 March 2025
SOUND SOURCE LOCALIZATION USING ACOUSTIC WAVE DECOMPOSITION
Organization Name
Inventor(s)
Mohamed Mansour of Cupertino CA US
SOUND SOURCE LOCALIZATION USING ACOUSTIC WAVE DECOMPOSITION
This abstract first appeared for US patent application 20250016499 titled 'SOUND SOURCE LOCALIZATION USING ACOUSTIC WAVE DECOMPOSITION
Original Abstract Submitted
disclosed are techniques for an improved method for performing sound source localization (ssl) to determine a direction of arrival of an audible sound using a combination of timing information and amplitude information. for example, a device may decompose an observed sound field into directional components, then estimate a time-delay likelihood value and an energy-based likelihood value for each of the directional components. using a combination of these likelihood values, the device can determine the direction of arrival corresponding to a maximum likelihood value. in some examples, the device may perform acoustic wave decomposition processing to determine the directional components. in order to reduce a processing consumption associated with performing awd processing, the device splits this process into two phases: a search phase that selects a subset of a device dictionary to reduce a complexity, and a decomposition phase that solves an optimization problem using the subset of the device dictionary.
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