w2v2-how-to VS emotional-vits

Compare w2v2-how-to vs emotional-vits and see what are their differences.

emotional-vits

无需情感标注的情感可控语音合成模型,基于VITS (by innnky)
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w2v2-how-to emotional-vits
1 2
401 1,223
2.7% -
3.8 1.5
12 months ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License 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.
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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.

w2v2-how-to

Posts with mentions or reviews of w2v2-how-to. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-02.

emotional-vits

Posts with mentions or reviews of emotional-vits. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-02.

What are some alternatives?

When comparing w2v2-how-to and emotional-vits you can also consider the following projects:

vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

vits-japanese - 无需情感标注的情感可控语音合成模型,基于VITS [Moved to: https://github.com/innnky/emotional-vits]

soxan - Wav2Vec for speech recognition, classification, and audio classification

models - A collection of pre-trained, state-of-the-art models in the ONNX format

infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).

silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple