Text-Based Audio Segmentation to Reduce Manual Playback
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Solution Overview
Problem
Traditional audio editing methods are inefficient and require manual playbacks to locate audio segments for editing, leading to reduced editing efficiency and increased time cost.
Innovation Solution
A method for audio editing that involves converting audio to text using speech recognition technology, allowing for segmentation editing based on text segments, thereby enabling precise and efficient audio editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual playback methods are used to locate audio segments, then the audio editing process can be completed, but the editing efficiency is reduced and time cost increases
Solution Approach 1:
The patent introduces text as an intermediary between the audio content and the editing operation. The text is generated from speech recognition of the audio, providing a searchable and selectable representation of the audio content. Users can locate and select specific audio segments by interacting with the text rather than manually playing through the audio, thereby dramatically improving editing efficiency and reducing time cost.
2Measurement precision
If text-based segmentation is implemented, then precise location and editing of audio segments is enabled, but the system complexity increases due to speech recognition and text processing
Solution Approach 1:
The patent creates a text copy of the audio content through speech recognition. This text copy serves as a precise map of the audio segments, allowing users to locate and select specific portions with high precision. The text copy is then used to control the audio editing process, enabling precise segment location and editing without requiring complex direct audio analysis during the editing phase.
Data Source
AI summary
According to embodiments of the disclosure, a method, an apparatus, a device and storage medium for editing audio are provided. The method includes: presenting text corresponding to audio; in response to detecting a first predetermined input for the text, determining a plurality of text segments of the text based on a first position associated with the first predetermined input; and enabling segmentation editing of the audio based at least in part on the plurality of text segments.