Practical ways to improve the quality of AI voiceovers
To get the best naturalness out of the dubbing generated by vdspeak, you need to work on both input optimization and parameter tuning:
Input source optimization:
- Raw Audio Quality: Ensure that video vocals are clear (16kHz or higher sampling rate is recommended), and avoid background music levels above -24dB.
- linguistic characteristic: Add keywords to YouTube descriptions ahead of time to help AI recognize content that contains specialized terminology
- speech control: The original video speech rate is recommended to be kept at 120-150 words per minute (detectable by YouTube subtitle tool).
Tips for using the platform:
- Test 30-second clips before generating voiceovers
- Try to adjust the speed of speech parameter (some languages support ±20% speed adjustment)
- Choose an AI voice that matches the video content (subdued tones are recommended for education, lively tones for entertainment)
- Pronunciation notes can be added manually for important proper nouns
Post-processing recommendations:
After downloading the dubbing file, it is recommended that you use a tool such as Audacity to optimize it as follows:
- Standardized audio level (-16 LUFS)
- Add a 0.5-1 second fade-in/out effect
- Insert 0.3 second mute intervals to improve rhythm if necessary
This answer comes from the articlevdspeakThe
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