Abstract: An audio processing system may include at least one memory configured to maintain a plurality of audio signal processing algorithms and audio components, and a server having a processor. The processor may be configured to present an interface displaying at least a portion of the signal processing algorithms and audio components, receive user selection of at least one of the audio components, present the at least one selected audio component via the interface, receive user selection of at least one of signal processing algorithms to apply to the at least one selected audio component, apply the at least one selected algorithm to the at least one selected audio component, and provide a measurement of the at least one selected algorithm and the at least one selected audio component via the interface.

Abstract: An audio processing system may include at least one memory configured to maintain a plurality of audio signal processing algorithms and audio components, and a server having a processor. The processor may be configured to present an interface displaying at least a portion of the signal processing algorithms and audio components, receive user selection of at least one of the audio components, present the at least one selected audio component via the interface, receive user selection of at least one of signal processing algorithms to apply to the at least one selected audio component, apply the at least one selected algorithm to the at least one selected audio component, and provide a measurement of the at least one selected algorithm and the at least one selected audio component via the interface.

Abstract: In at least one embodiment, a system for synchronizing an audio stream is provided. The system includes a first loudspeaker and an audio controller. The first loudspeaker plays back a first audio output signal including first signature information. The audio controller provides a first audio input signal and superimpose the first signature information on the first audio input signal. The audio controller receives the first audio output signal including the first audio packets and the first signature information and to detect the first signature information. The audio controller determines a delay attributed to a transmission of the first audio input signal and the first audio output signal based on the first signature information and synchronizes the transmission of a second audio input signal from the audio controller to the first loudspeaker with the playback of another audio output signal from a second loudspeaker based at least on the delay.

Abstract: In at least one embodiment, a system for synchronizing an audio stream is provided. The system includes a first loudspeaker and an audio controller. The first loudspeaker plays back a first audio output signal including first signature information. The audio controller provides a first audio input signal and superimpose the first signature information on the first audio input signal. The audio controller receives the first audio output signal including the first audio packets and the first signature information and to detect the first signature information. The audio controller determines a delay attributed to a transmission of the first audio input signal and the first audio output signal based on the first signature information and synchronizes the transmission of a second audio input signal from the audio controller to the first loudspeaker with the playback of another audio output signal from a second loudspeaker based at least on the delay.

Abstract: In at least one embodiment, an audio system is provided. At least one controller is programmed to encode a first and second audio component and to generate a first and a second encoded audio component. The at least one controller is programmed to apply a first gain to at least one of the first encoded audio component and the second encoded audio component to generate at least one of a first and second increased encoded audio component and to decode the at least one of the first and the second increased encoded audio component to generate at least one of a first and second decoded audio component. The at least one controller is further programmed to amplitude pan the at least one of the first and the second decoded audio component to increase a stereo width for an audio output transmitted by a first loudspeaker and a second loudspeaker.

Abstract: A method of audio signal processing, the method comprising: accessing user-specific audio processing information for a particular user; determining identity information of an audio device for producing sound output from an audio signal; based on the identity information of the audio device, accessing device-specific audio processing information for the audio device; generating a customized audio-processing procedure for the audio signal based on the user-specific audio processing information and the device-specific audio processing information; and generating a customized audio signal by processing the audio signal with the customized audio-processing procedure.

Abstract: An audio processing system may include at least one memory configured to maintain a plurality of audio signal processing algorithms and audio components, and a server having a processor. The processor may be configured to present an interface displaying at least a portion of the signal processing algorithms and audio components, receive user selection of at least one of the audio components, present the at least one selected audio component via the interface, receive user selection of at least one of signal processing algorithms to apply to the at least one selected audio component, apply the at least one selected algorithm to the at least one selected audio component, and provide a measurement of the at least one selected algorithm and the at least one selected audio component via the interface.

Abstract: A method of audio signal processing, the method comprising: accessing user-specific audio processing information for a particular user; determining identity information of an audio device for producing sound output from an audio signal; based on the identity information of the audio device, accessing device-specific audio processing information for the audio device; generating a customized audio-processing procedure for the audio signal based on the user-specific audio processing information and the device-specific audio processing information; and generating a customized audio signal by processing the audio signal with the customized audio-processing procedure.

Abstract: A video codec includes a stitching module configured to select stored encoded video frames that are to be composed into a concatenated frame for display. The stitching module arranges the selected encoded video frames into a specified pattern, and stitches the arranged encoded video frames together to generate a stitched encoded frame. A decoder of the video codec then decodes the stitched encoded frame to generate the frame for display.

Abstract: A system and method for script and orientation detection of images using artificial neural networks (ANNs) are disclosed. In one example, textual content in the image is extracted. Further, a vertical component run (VCR) and horizontal component run (HCR) are obtained by vectorizing each connected component in the extracted textual content. Furthermore, a zonal density run (ZDR) is obtained for each connected component in the extracted textual content. In addition, a concatenated vertical document vector (VDV), horizontal document vector (HDV), and zonal density vector (ZDV) is computed by normalizing the obtained VCR, HCR, and ZDR, respectively, for each connected component. Moreover, the script in the image is determined using a script detection ANN module and the concatenated VDV, HDV, and ZDV of the image. Also, the orientation of the image is determined using an orientation detection ANN module and the concatenated VDV, HDV, and ZDV of the image.

Abstract: In one embodiment, a method of detecting document orientation includes capturing a document image, binarizing each subimage of the document image to retain textual content and eliminate graphic and noise content from the document image, detecting portrait or landscape orientation based on values computed from strip-based projection profiles, and detecting up or down text orientation based on a text-asymmetry ratio computed from strip-based projection profiles.

Abstract: A system and method for script and orientation detection of images using artificial neural networks (ANNs) are disclosed. In one example, textual content in the image is extracted. Further, a vertical component run (VCR) and horizontal component run (HCR) are obtained by vectorizing each connected component in the extracted textual content. Furthermore, a zonal density run (ZDR) is obtained for each connected component in the extracted textual content. In addition, a concatenated vertical document vector (VDV), horizontal document vector (HDV), and zonal density vector (ZDV) is computed by normalizing the obtained VCR, HCR, and ZDR, respectively, for each connected component. Moreover, the script in the image is determined using a script detection ANN module and the concatenated VDV, HDV, and ZDV of the image. Also, the orientation of the image is determined using an orientation detection ANN module and the concatenated VDV, HDV, and ZDV of the image.

Abstract: In one embodiment, a method of detecting document orientation includes capturing a document image, binarizing each subimage of the document image to retain textual content and eliminate graphic and noise content from the document image, detecting portrait or landscape orientation based on values computed from strip-based projection profiles, and detecting up or down text orientation based on a text-asymmetry ratio computed from strip-based projection profiles.

Abstract: A system and method for pipeline image processing is disclosed. In one example embodiment the one or more swaths of the image may be received on the server from a client device connected to the server via a network. The received one or more swaths are processed on a swath by swath basis to obtain one or more image quality parameters. The obtained one or more image quality parameters are compared with a predetermined threshold level. The obtained one or more image quality parameters may be sent to the client device for further processing of the image based on the obtained one or more image quality parameters.