Awesome-DeepFake-Learning
The approach I work on DeepFake. (by Billy1900)
WaveRNN
WaveRNN Vocoder + TTS (by fatchord)
Awesome-DeepFake-Learning | WaveRNN | |
---|---|---|
1 | 5 | |
157 | 2,086 | |
- | - | |
1.8 | 0.0 | |
over 2 years ago | almost 2 years ago | |
Python | ||
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Awesome-DeepFake-Learning
Posts with mentions or reviews of Awesome-DeepFake-Learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-15.
WaveRNN
Posts with mentions or reviews of WaveRNN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-15.
- Ich werde bald, vorrausichtlich noch dieses Jahr, stumm werden. Was nun?
-
Eminem Disses Forsen
I've posted before, but its this open source https://github.com/fatchord/WaveRNN with a very basic gui and a connection to the streamlabs socket api which sends out json of the dono. The actual app forsen has is probably a day of work.
-
Johnny Silverhand TTS. Some classic lines
Its not enough. You need at least 8GB VRAM for GPU training. My specs are 3700x + 2080s, CPU training is <1step/sec and GPU is up to 5steps/sec. Even with this GPU I have "out of memory" erros sometimes (hint: if someone else wants to try wavernn check my pull request to reduce gpu memory usage). You can use online services to train your data like Google Colab but it might be too expensive for you.
-
Weekly Noobquestions Thread December 29 2020
I may have found an a program that works. Its the same algorithm that the streamer forsen uses for his TTS, and it can emulate his own voice(which has a swedish accent) or voices of other notable people with accents. It appears like it has the ability to give it your own data set so I'll see if I can get it to work. For anyone finding the post this is the link: https://github.com/fatchord/WaveRNN
What are some alternatives?
When comparing Awesome-DeepFake-Learning and WaveRNN you can also consider the following projects:
Voice-Cloning-App - A Python/Pytorch app for easily synthesising human voices
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis