โผ State of the art
Noise identifier
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Franco Arteseros๐ 67 karmaOct 23, 2024@D-IDWE USE D-ID AT THE COLORADO VIRTUAL CREATIVE FACTORY...AND LOVE IT.
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This is phenomenal. I demo it in my sessions all the time.
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Great for automating podcast mastering. Voicecrush takes care of removing "em, eh, รคh, um" etc. Also: my recording setup has some subtle background noise / hum, which cause I never was able to identify, nor able to get rid of with typical audio software. I don't know how Voice Crush accomplishes it, but I guess its AI features are doing an awesome job of filtering out these noises and distortions from hour-long recordings flawlessly.
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- Sponsor:Rocket
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it's easy to use and do your work, but be careful if you go to the editor, be precise with your markings. i ended up having lots of snippets i couldn't remove and had to start over..
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Although not very detailed, the key points are almost all included. Not only can PDFs be uploaded, but other text files as well, and can be translated into the specified language, Overall, it's quite practical!
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It did nothing after more than 20 minutes on a 90 seconds audio...
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Hi! I'm the founder of watch.ID - feel free to ask any questions or feedbacks โ๏ธ
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i think this is one of the most helpful and useful pieces of tech i've seen this year <3 i was truly blown away on how precise the noise cancel is, not to mention how clear the voices were :O i love this
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Very high quality, amazing realism. You can change ethnicities and expressions as well, including full body skin.
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