Abstract: There are provided systems and methods for image repair of captured document images for document image submissions using generative artificial intelligence (AI). A service provider, such as an electronic transaction processor for digital transactions, may provide computing services to users, which may be used to engage in interactions with other users and entities including for electronic transaction processing. When utilizing these services, document verification may be required to verify a document. A user may capture an image of a document, such as a driver's license, and an image repair generative AI may determine if image repair may be necessary to improve an image quality of the image. The generative AI may be trained using multiple neural networks to generate and distinguish between different image qualities. The generative AI may therefore generate image data that improves the image quality and allows for verification of content in the image.

Abstract: The present invention discloses a compression-type high-pitch loudspeaker assembly with a horizontal omnidirectional horn array, comprising a high-pitch loudspeaker and a horn array. A vibrating diaphragm is disposed at the top of the high-pitch loudspeaker and the center of the horn array; the horn array comprises a horn block, a top plate and a bottom plate; the vibrating diaphragm is disposed between the top plate and the bottom plate of the horn array; the horn block of the horn array is configured to connect the top plate and the bottom plate of the horn array and supports the whole structure of the horn array, and the structure of the horn array and the interior of the vibrating diaphragm of the high-pitch loudspeaker together form a throat stop portion and a throat port portion.