#Need help getting a voice changer
1 messages · Page 1 of 1 (latest)
that doesn't require pc since I can't get one and works for Android
**Realtime **for calls/games on Android (Phones)? It's straight up impossible
first of all, mobiles don't have good computing power, and AI is pretty intensive
second of all, a realtime voice changer would need a VAC (Virtual Audio Cable), that is needed to re-route the output (converted voice) from the program to another program input like discord, and that's an issue about all phones which make it impossible even if the program was running on cloud (remote good pc)
do you have any type of pc? desktop/laptop? that's 100% required
Oh I don't have one
do you want a realtime voice changer for calls, or just use voice models on pre-recorded audios (like ai covers)?
not possible lol, for realtime you need a PC
but you can do the 2nd
Train (make) RVC Models on cloud:
- Prepare the Dataset
- Setup RVC:
Choose a cloud way to use RVC,
- Google Colabs (max 4 hours of daily T4 16gb gpu not granted for free, not much hours for training, but easy to use, there's a paid tier):
- Kaggles (a bit harder to use and needs phone number but gives 30 hours weekly of better gpus, either T4x2 16gb each or P100 16gb, only free):
- Lightning.ai (Kinda hard, needs login, no issue with web uis or anything, but only free 15 credits monthly, Free Studios run 24/7 but require restart every 4 hours. There's a paid tier):
- Be sure to know about the tensorboard
Google Colab = Easier but risk of getting disconnected
Kaggle = Harder but way more gpu time
If you are looking for the easiest way and for free, is using https://weights.com/ which ofc uses RVC
RVC Inference (use models) on pre-recorded audio on Cloud
You can use either:
- Weights.com: Easiest Possible Ever Automatic
- Ilaria RVC Zero: Fastest free on cloud
- Applio UI Colab: RVC Fork with some extra features like TTS
- RVC AI Cover Maker UI: Automatically Separates the Vocals and Instrumentals, converts the voice and mixes them back
I gave you all ways to use voice models on pre-recorded audios on cloud