Audio Block Service Registration for Targeted Behavior Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge lies in effectively collecting and analyzing user behavior data from electronic devices, which is complicated due to their diverse functions and abundant multimedia applications, making it difficult to determine user habits and preferences.
Innovation Solution
An audio processing method that determines an audio data source, registers an audio block service, and performs software decoding to obtain audio track data, which is then analyzed to collect user behavior samples, reducing the complexity of data collection and improving analysis accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If audio data from multiple sources is collected for behavior analysis, then the completeness of user behavior data is improved, but the device complexity and resource consumption increase
Solution Approach 1:
The patent extracts audio data from multiple sources through a standardized interface that selectively captures only the necessary audio track information. By using audio block services and registration mechanisms, the system extracts relevant audio data without requiring complex integration of each individual audio source, thus reducing system complexity while maintaining data completeness.
Solution Approach 2:
The patent implements a universal audio data collection framework that can handle multiple audio sources (media players, VoIP calls, alarm clocks, etc.) through a common interface. This multi-functional approach allows the system to collect behavior data from diverse audio sources without requiring separate specialized mechanisms for each source type, thereby reducing overall system complexity.
2Measurement precision
If audio track data is decoded and analyzed for every audio source, then the accuracy of user behavior analysis is improved, but the resource consumption and processing time increase
Solution Approach 1:
The patent performs preliminary actions by pre-registering audio block services and pre-configuring audio source identification before actual audio data collection. This allows the system to efficiently identify and process only the relevant audio sources that need behavior analysis, avoiding unnecessary decoding and processing of all audio data, thus reducing resource consumption while maintaining analysis accuracy.
Solution Approach 2:
The patent applies local quality by selectively processing audio data based on specific characteristics and requirements of different audio sources. Instead of uniformly processing all audio data, the system identifies and processes only the audio tracks that are relevant for behavior analysis (e.g., music playback, VoIP calls) while skipping or minimizing processing of irrelevant sources, thereby reducing overall resource consumption.
3Reliability
If comprehensive audio data collection is implemented across all applications, then the reliability of behavior analysis is improved, but the ease of operation and user experience deteriorate
Solution Approach 1:
The patent introduces an intermediary layer in the form of audio block services and registration mechanisms that mediate between various audio sources and the behavior analysis system. This intermediary layer handles the complex data collection and processing tasks automatically, making the system transparent to users and applications. Users continue to use audio sources normally without awareness of the underlying data collection process, thus maintaining ease of operation while ensuring reliable behavior analysis through comprehensive data collection.
Data Source
AI summary
An audio processing method includes determining an audio data source, registering an audio block service for the audio data source to obtain registration information of the audio block service, where the registration information of the audio block service includes identification information used for performing the audio block service on the audio data source, performing software decoding on the audio data source to obtain audio track data when it is determined, based on the identification information, that the audio data source needs to be blocked, and performing behavior analysis based on the audio track data. Hence, audio track data can be collected in a targeted manner, the collected audio track data is converted into text through speech recognition, and the text can be used for semantic analysis or internally-recorded audio recognition.