Personalized Audio Sample Generation via Segmented Indexing
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Solution Overview
Problem
Conventional audio file samples are not user-centric, often predetermined by licensing or financial considerations, failing to represent the diversity of audio files and not providing a personalized preview experience for users.
Innovation Solution
A method that indexes audio files into segments based on user preferences, selecting and combining these segments to create a customized sample of a specific length, incorporating transitional elements if necessary, using a user profile that prioritizes preferred audio characteristics such as artist, instrument, or volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional predetermined samples are used, then the sample creation process is simple and fast, but the sample does not align with user interests and fails to provide a personalized preview experience
Solution Approach 1:
The audio file is divided into multiple segments based on audio characteristics (verse, chorus, bridge, etc.), allowing the system to selectively combine segments to create personalized samples that match user preferences while maintaining manageable processing complexity
Solution Approach 2:
Audio files are pre-indexed with metadata tags identifying different segments and their characteristics before user requests arrive. This preliminary segmentation and tagging enables rapid assembly of personalized samples without complex real-time analysis
2Loss of information
If conventional fixed-length samples are used, then the sample structure is simple and consistent, but the sample may not provide a representative preview of diverse audio file aspects
Solution Approach 1:
Different segments of the audio file are tagged with specific characteristics (verse, chorus, instrumental, vocal sections). The system selects and combines segments based on user preferences for specific audio characteristics, ensuring the sample represents the diverse aspects the user cares about rather than using a uniform fixed-length excerpt
3Adaptability or versatility
If multiple noncontiguous segments are selected and combined, then the personalized sample can be created, but transitional elements must be added to maintain audio continuity
Solution Approach 1:
When multiple noncontiguous segments are selected to create a personalized sample, transitional elements (fade-ins, fade-outs, crossfades) are automatically inserted between segments. These intermediaries maintain audio continuity and professional quality while enabling the flexible segment combination required for personalization
Data Source
AI summary
An approach is described for creating an audio file sample based upon user preferences. An associated method may include detecting selection of an audio file by a user, wherein the selection of the audio file occurs via a communications network and indexing the audio file to create a plurality of indexed segments based upon audio analysis. The method further may include selecting at least one segment among the plurality of indexed segments based upon a profile of the user and incorporating the at least one selected segment into an audio sample having a designated length. Indexing the audio file to create a plurality of indexed segments based upon audio analysis may include, for each audio characteristic among a plurality of designated audio characteristics, creating from the audio file at least one indexed segment corresponding to the audio characteristic.