Background Audio Identification via Periodic Sampling
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Solution Overview
Problem
Users face challenges in identifying and accessing audio content recorded in their environment, especially when they no longer have access to the original source, as existing methods require user intervention and are not automated.
Innovation Solution
A system and method that utilize a computing device to record and transmit samples of background audio to a server, which processes and identifies the content using metadata, allowing users to access information and recommendations based on recorded audio samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated recording and identification of background audio is implemented, then user convenience and accessibility are improved, but device complexity and energy consumption increase
Solution Approach 1:
The system performs preliminary actions by automatically recording background audio samples at predetermined time intervals and storing them with metadata before the user needs to access the information. This eliminates the need for users to manually record or search for audio content later, thereby improving convenience while the automation handles the complexity in the background.
Solution Approach 2:
A server computing device acts as an intermediary between the client device and the audio identification process. The server receives audio samples, processes them, and returns identification results, distributing the system complexity across multiple components rather than requiring all functionality to reside in a single device.
2Measurement precision
If continuous recording of background audio is implemented, then audio content identification accuracy is improved, but energy consumption and data storage requirements increase
Solution Approach 1:
Instead of continuous recording, the system records audio samples at predetermined time intervals. This periodic action maintains sufficient identification accuracy by capturing audio content at meaningful moments while significantly reducing energy consumption and data storage requirements compared to continuous recording.
Solution Approach 2:
The system records audio samples at specific intervals rather than continuously, using partial action to achieve the identification goal. This approach provides sufficient accuracy for audio content identification while avoiding the excessive energy consumption and data storage burden of continuous recording.
3Difficulty of detecting and measuring
If audio samples are transmitted to server for processing, then identification capability is improved, but communication bandwidth and processing time increase
Solution Approach 1:
The system extracts only the necessary audio samples and transmits them to the server for processing. By taking out only the essential audio data rather than transmitting all possible audio information, the system achieves effective identification capability while minimizing communication bandwidth usage and processing time.
Data Source
AI summary
Various aspects of a system and a method for accessing information associated with a sample of background audio in a computing device are disclosed herein. The computing device records, at predetermined time intervals, a sample of background audio in a vicinity of the computing device. The computing device transmits the recorded sample of background audio to a server computing device. The recorded sample of background audio and a metadata associated with the recorded sample of background audio is stored at the server computing device. The computing device accesses information associated with the recorded sample of background audio from the server computing device. The information is determined by the server computing device based on the recorded sample of background audio.