Audio Content Segmentation via Server-Recommended Locations
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Solution Overview
Problem
Existing audio content segmentation methods rely on user interaction with electronic devices, which can be error-prone and inefficient, as they directly capture audio fragments without considering optimal segmentation points based on predefined criteria.
Innovation Solution
An audio content segmentation method and apparatus that involves interaction between user equipment and a server, where the server processes user-provided segmentation location information to recommend optimal segmentation points, reducing errors by determining target segmentation locations based on reference locations with minimal differences, thereby improving the accuracy of captured audio content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user equipment directly captures audio fragments based on user-selected segmentation locations, then the operation is simple and fast, but the segmentation accuracy is low and error-prone
Solution Approach 1:
The patent introduces a server as an intermediary between user equipment and audio content. The server receives segmentation location information from user equipment, compares it with reference segmentation location information stored in the database, and returns optimized segmentation locations. This intermediary processing improves segmentation accuracy without significantly increasing client-side complexity.
Solution Approach 2:
The patent pre-stores reference segmentation location information in the server database before actual audio capture. This preliminary preparation allows the system to quickly compare and optimize segmentation locations during runtime, improving accuracy without adding real-time processing complexity to user equipment.
2Reliability
If the system uses user-selected segmentation locations directly, then the process is efficient and quick, but the captured fragments may contain errors and miss optimal segmentation points
Solution Approach 1:
The patent implements a feedback mechanism where the server compares user-selected segmentation locations with pre-stored reference segmentation locations and returns optimized locations. This feedback loop improves capture reliability by correcting errors while maintaining reasonable processing time through efficient server-side comparison algorithms.
Solution Approach 2:
The patent replaces the mechanical process of direct user selection with an automated server-based optimization system. The server automatically compares and adjusts segmentation locations using algorithmic processing, reducing manual error while maintaining efficiency through automated rather than manual intervention.
3Measurement precision
If the system implements server-based segmentation optimization, then the segmentation accuracy improves, but the device complexity and processing overhead increase
Solution Approach 1:
The patent enables the server to automatically perform segmentation optimization without requiring manual user intervention. The system self-adjusts segmentation locations by comparing user selections with reference data and returning optimized results, improving precision while maintaining operational simplicity for the end user.
Data Source
AI summary
Embodiments of the present invention provide an audio content segmentation method and an apparatus. The method includes: obtaining at least one piece of first segmentation location information of audio content; sending a segmentation location message to a server, wherein the segmentation location message carries the at least one piece of first segmentation location information of the audio content and an audio identifier of the audio content; receiving a segmentation location recommendation message sent by the server, wherein the segmentation location recommendation message carries the audio identifier of the audio content and the at least one piece of third segmentation location information; and segmenting the audio content according to the at least one piece of third segmentation location information.