Audio Style Segmentation and Splicing for Seamless Playback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current audio processing technologies, particularly in mobile devices, lack the ability to accurately clip and splice songs based on preset styles, resulting in suboptimal user experience due to manual operation and imprecise determination of song segments.
Innovation Solution
A method and device that analyze audio files to determine start and end times of segments corresponding to specific styles, allowing for clipping and splicing of audio files according to preset styles, thereby enhancing user experience by creating seamless and customized audio compositions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation is used for clipping songs via network software, then the operation can be performed, but the accuracy of determining song segment locations deteriorates
Solution Approach 1:
The system performs automatic style recognition and segment location determination without requiring manual operation. The audio file is automatically analyzed to identify different musical styles and their transition points, enabling the clipping function to work autonomously with high precision.
Solution Approach 2:
The manual mechanical operation of clipping is replaced by an automated digital signal processing system. The system uses style recognition algorithms to automatically identify segment boundaries and perform clipping operations, substituting human manual control with automated computational methods.
2Measurement precision
If style recognition analysis is performed on audio files, then the precision of segment determination is improved, but the processing time and complexity increase
Solution Approach 1:
The audio processing system is divided into distinct functional modules: style recognition module, segment determination module, and clipping module. Each module handles a specific aspect of the processing, making the overall complex system manageable and efficient through functional decomposition.
3Measurement precision
If automatic style recognition is implemented, then the accuracy of clipping locations is improved, but the processing time increases
Solution Approach 1:
The style recognition and segment determination are performed in advance during the clipping process. By pre-identifying style transition points before the actual clipping operation, the system ensures accurate location determination without adding significant time to the final output generation.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
The present disclosure provides a method for processing songs of preset styles. The method can include the follows. A setting instruction from a user is received. Preset styles of spliced songs are set in accordance with the setting instruction. N pieces of audio files are read out, wherein N≥1 and is an integer. The N pieces of audio files are analyzed to obtain styles of the N pieces of audio files. The start time and the end time of each paragraph corresponding to each of the styles of the N pieces of audio files are determined. In accordance with the start time and the end time of each paragraph corresponding to each of the styles of the N pieces of audio files, N pieces of audio files are clipped, so as to obtain K pieces of clipped paragraph, wherein K≥1 and is an integer. The K pieces of clipped paragraph are spliced in accordance with the order of the preset styles to obtain audio files of the spliced songs. Therefore, splicing of songs of preset styles can be achieved and user experience can be improved.