Translated Audio Timestamp and Speed Alignment for Video Dubbing
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Solution Overview
Problem
Existing dubbing services face challenges in synchronizing translated audio with the original video, often resulting in out-of-sync audio that is not appealing to viewers.
Innovation Solution
A method and server for generating modified audio by shifting starting timestamps and adjusting audio speed of audio segments, using algorithms that optimize audio alignment based on MEL spectrograms or waveforms, to achieve better synchronization with the original audio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If voice dubbing is performed by combining translated audio portions with original video, then translation capability is achieved, but audio synchronization with video deteriorates
Solution Approach 1:
The patent applies parameter changes by adjusting the speed of audio segments through time-warping operations. The system calculates optimal speed coefficients for each audio segment based on synchronization errors, then applies these coefficients to resample and retime the audio, thereby achieving synchronization without compromising translation quality
Solution Approach 2:
The patent implements dynamics by making the audio timeline adjustable and flexible. Instead of fixed timing, the system dynamically optimizes the timing of each audio segment based on real-time synchronization analysis, allowing the audio to adapt its rhythm to match the original video's temporal structure
2Manufacturing precision
If audio segments are shifted and speed-adjusted to synchronize with original audio, then synchronization quality improves, but algorithm complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the translated audio into multiple segments that can be independently processed and optimized. Each segment is analyzed and adjusted separately based on its synchronization error, allowing complex optimization to be broken down into manageable units that can be processed efficiently
Solution Approach 2:
The patent implements feedback through an iterative optimization process where synchronization errors are measured, speed coefficients are calculated based on these errors, and the audio is resampled accordingly. This closed-loop feedback continues until optimal synchronization is achieved, automatically adjusting parameters without manual intervention
Data Source
AI summary
A method and server for generating modified audio data for a video file are disclosed. The method includes acquiring a sequence of first audio portions, and a sequence of second audio portions in different languages. The method includes generating a plurality of candidate arrangements of the sequence of the second audio portions, where a given candidate arrangement is associated with candidate timestamps in the video file and candidate compression rates for respective ones from the sequence of second audio portions. The method includes selecting a target arrangement for the sequence of the second audio portions from the plurality of candidates. The selection is based on the target arrangement having a minimal penalty score amongst penalty scores associated with the plurality of candidates. The method includes generating at least one modified audio portion for the video file as a translation of the audio data using the target arrangement.