Real-time Audio Recognition via Dual HTTP Connections
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Solution Overview
Problem
Current audio recognition systems are limited to recognizing a single domain or content type and cannot provide real-time results, requiring users to wait until audio samples are fully captured before receiving identification information, which restricts their functionality and user experience.
Innovation Solution
A computer-implemented method using multiple recognizers that processes and recognizes audio samples in real-time by establishing two concurrent HTTP connections between a client and an audio recognition service, allowing for simultaneous transmission and recognition of audio samples and immediate return of results, enabling identification across multiple content types during ongoing recording.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If audio samples are processed only after complete capture, then recognition accuracy is improved, but user wait time increases
Solution Approach 1:
The system performs preliminary processing on audio samples as they are being captured, rather than waiting for complete capture. The audio stream is continuously processed in real-time, allowing recognition results to be provided incrementally during the recording process, thus reducing user wait time while maintaining recognition accuracy through continuous refinement as more audio data becomes available.
2Device complexity
If a single HTTP connection is used for audio transmission, then connection simplicity is maintained, but real-time result delivery is prevented
Solution Approach 1:
The system segments the communication into two separate HTTP connections: one for uploading audio samples and another for receiving recognition results. This segmentation allows simultaneous independent operation of audio transmission and result delivery, enabling real-time feedback while keeping each connection's protocol simple and manageable.
Solution Approach 2:
The server acts as an intermediary that receives audio samples on one connection, processes them, and returns results on a separate connection. This intermediary role allows the system to decouple the audio transmission pathway from the result delivery pathway, enabling parallel operations without increasing the complexity of individual connections.
3Adaptability or versatility
If multiple recognizers are deployed for various content types, then system versatility is improved, but processing complexity increases
Solution Approach 1:
The system implements a universal audio processing pipeline that can handle multiple content types (music, TV shows, speeches, environmental recordings) through a single unified architecture. The same HTTP connection framework and processing infrastructure serve all recognizer types, allowing the system to be versatile without proportionally increasing complexity.
Solution Approach 2:
The system activates only the necessary recognizers based on the characteristics of the incoming audio sample, rather than running all recognizers simultaneously for every input. This selective activation reduces processing complexity while maintaining versatility, as only relevant content type recognizers are engaged for each specific audio sample.
Data Source
AI summary
An audio recognition service recognizes an audio sample across multiple content types. At least a partial set of results generated by the service are returned to a client while the audio sample is still being recorded and/or transmitted. The client additionally displays the results in real-time or near real-time to the user. The audio sample can be sent over a first HTTP connection and the results can be returned over a second HTTP connection. The audio recognition service further processes check-in selections received from the client for content items indicated by the results. Responsive to receiving the check-in selections, the service determines whether a user is eligible for a reward. If the user is eligible, the service provides the reward.