SfMLearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos (by tinghuiz)
soft-vc
Soft speech units for voice conversion (by bshall)
| SfMLearner | soft-vc | |
|---|---|---|
| 1 | 2 | |
| 1,927 | 376 | |
| - | - | |
| 0.0 | 2.2 | |
| over 2 years ago | 2 months 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.
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.
SfMLearner
Posts with mentions or reviews of SfMLearner.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-08.
soft-vc
Posts with mentions or reviews of soft-vc.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Where can I find more info on the various model files
Also been looking into CycleGANs to do "voice conversions." I found that the term "voice conversion" is a research-friendly way to say you are doing voice clones. I found this one really good and I've been quite impressed : https://github.com/bshall/soft-vc
-
Divine conference of the 'sisters' :P
but Lydiasarunrat (my project-partner) had different ideas, and knew of the existence of https://github.com/bshall/soft-vc which he also slightly adjusted to get better results. The title of the work that were basing the female voice-pack conversion on: "{A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion}". It's a beautiful title.. very.. Sekiro lore-friendly 🤣 - use this for Pro Shinobi whisper voice-line conversion! 😄
What are some alternatives?
When comparing SfMLearner and soft-vc you can also consider the following projects:
struct2depth - Models and examples built with TensorFlow
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
HIPT - Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
google-research - Google Research