Recording App Audio Remediation Across Heterogeneous User Devices
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Solution Overview
Problem
Conventional systems fail to reliably predict and control real-time audio capture behavior across diverse user devices due to disparities in device manufacturers, operating systems, and audio hardware, leading to issues like variable latency, dropouts, background noise, and distortion, which affect the usability and experience of music recording applications.
Innovation Solution
A system that identifies device characteristics and sends remediation instructions to user devices to mitigate content capture issues, including latency, dropouts, and noise, by determining device type and configuration, and applying device-specific adjustments to improve recording application performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional recording applications are used on diverse user devices, then device compatibility and accessibility are improved, but audio capture reliability and quality deteriorate due to variable latency, dropouts, noise, and distortion
Solution Approach 1:
The system dynamically changes operational parameters of audio components based on device-specific characteristics. It identifies device type and sends remediation instructions that adjust parameters such as audio buffering, sample rates, and processing settings to compensate for hardware variations, thereby maintaining reliable audio capture across diverse devices without sacrificing compatibility
Solution Approach 2:
The system implements a feedback loop where audio content is captured, analyzed for quality issues (latency, dropouts, noise), and then remediation instructions are sent back to the device. This closed-loop approach continuously monitors and adjusts audio capture parameters to maintain reliability while supporting multiple device types
2Reliability
If device-specific remediation instructions are implemented, then audio capture quality and reliability are improved, but system complexity increases due to device identification and instruction management
Solution Approach 1:
The system performs preliminary device identification and characterization before actual audio recording begins. By determining device type upfront and pre-configuring appropriate remediation instructions, it avoids complex real-time adjustments during recording, thereby improving audio quality while managing system complexity through advance preparation
Solution Approach 2:
The system creates and maintains a library of pre-defined remediation instruction templates for different device types. Instead of generating complex custom instructions for each device, it copies and adapts proven instruction sets from the library, reducing the complexity of instruction management while maintaining targeted quality improvements for each device category
Data Source
AI summary
Disclosed herein are system, method, and computer program product aspects for According to some aspects, a computing device (e.g., a server, a cloud-based device, an application-service device, etc.) may identify a characteristic of content received via a recording application on a user device (e.g., a mobile device, a smart device, a computing device, etc.). A type of the user device may be determined based on an identifier received with the content. Based on the type of the user device, an instruction may be sent to the user device that causes a change in an operational state of a component of the user device that is utilized by the recording application. Remediation instructions that remediate the characteristic of the content may be sent to the user device based on an indication of the change in the operation state of the audio component.