Incentive-Based Audio Recognition System
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Solution Overview
Problem
Current audio recognition systems are limited in recognizing multiple content types, providing results only after complete audio sample capture, and cannot identify audio samples in real-time, leading to user inconvenience and prolonged waiting periods.
Innovation Solution
An incentive-based audio recognition system that employs multiple audio recognizers to identify various audio sample types in real-time, allowing for partial results during sample capture and offering rewards for user interaction with identified content, using concurrent HTTP connections for efficient data transmission and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If audio recognition systems process complete audio samples before providing results, then identification accuracy is improved, but user waiting time increases
Solution Approach 1:
The system performs preliminary processing on audio samples by analyzing them in real-time as they are being captured, rather than waiting for complete capture. The query component receives audio samples and the recognition component identifies them concurrently with the recording process, providing preliminary results before the full sample is captured.
Solution Approach 2:
The system provides partial identification results based on the portion of audio sample that has been captured so far. Instead of requiring the complete audio sample, the recognition component can identify audio samples with partial data, allowing users to receive results during the capture process rather than after complete capture.
2Adaptability or versatility
If audio recognition systems support multiple content types, then system versatility is improved, but system complexity increases
Solution Approach 1:
The system implements a universal audio recognition architecture where the same query component and recognition component handle multiple content types including music, television shows, and other audio samples. The recognition component is designed to identify various types of audio content through a unified process, eliminating the need for separate specialized systems.
Solution Approach 2:
The system dynamically adapts to different content types by using the same core recognition infrastructure to handle varying audio samples. The recognition component can adjust its processing based on the type of audio sample being analyzed, providing flexible multi-content-type support without requiring rigid separate systems for each content category.
3Measurement precision
If audio samples are processed after complete capture, then processing accuracy is improved, but productivity decreases
Solution Approach 1:
The system maintains continuous processing of audio samples during capture rather than pausing to wait for complete capture. The query component and recognition component operate continuously, receiving and processing audio data as it arrives, ensuring that useful identification action occurs throughout the entire capture process rather than only after completion.
Data Source
AI summary
Apparatus, systems and methods provide incentive-based usage of an audio recognition system. In an aspect, a system is provided that includes a query component configured to receive an audio sample from a device and a recognition component configured to determine an identification of the audio sample. The system further includes a reward component configured to identify a reward associated with the identification of the audio sample, wherein the query component is further configured to provide a query result to the device, the query result comprising the identification of the audio sample and the reward associated therewith.