diffwave VS WaveRNN

Compare diffwave vs WaveRNN and see what are their differences.

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diffwave WaveRNN
3 5
724 2,086
2.5% -
1.5 0.0
about 1 month ago almost 2 years ago
Python Python
Apache License 2.0 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.

diffwave

Posts with mentions or reviews of diffwave. We have used some of these posts to build our list of alternatives and similar projects.

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?
    4 projects | /r/de | 15 Jan 2022
  • Eminem Disses Forsen
    1 project | /r/LivestreamFail | 24 Aug 2021
    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
    2 projects | /r/forsen | 26 Apr 2021
    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
    1 project | /r/SFWdeepfakes | 1 Feb 2021
    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 diffwave and WaveRNN you can also consider the following projects:

hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

wavegrad - A fast, high-quality neural vocoder.

Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer

tts-generation-webui - TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, MAGNet, StyleTTS2, MMS)

allosaurus - Allosaurus is a pretrained universal phone recognizer for more than 2000 languages

TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

mlp-singer - Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis (IEEE MLSP 2021)

vall-e - An unofficial PyTorch implementation of the audio LM VALL-E