ASK for UVR5

[ghost]

modelo_final.th and YAML

Where can I download it now?

[deton24]

https://drive.google.com/file/d/1S79T3XlPFosbhXgVO8h3GeBJSu43Sk-O/view https://drive.google.com/file/d/1LJ_C4h-hXAJEMaP7lbPTpcrVH-i_VKjm/view?usp=drivesdk <https://drive.google.com/file/d/1S79T3XlPFosbhXgVO8h3GeBJSu43Sk-O/view> sob., 20 kwi 2024, 07:19 użytkownik danny69boc ***@***.***> napisał:

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modelo_final.th and YAML Where can I download it now? — Reply to this email directly, view it on GitHub <#4>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AIJ3EHH3X7447E34RZ4XVRLY6H3HLAVCNFSM6AAAAABGQGNCUWVHI2DSMVQWIX3LMV43ASLTON2WKOZSGI2TIMZYHAYTENA> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[ghost]

Thanks for the great model!
I would love to create my own learning model like this model.
Do you think it is possible to make a learning model that extracts only these sounds?
So far I've had a lot of failures.
https://soundcloud.com/nicole-268639085/test-file

[deton24]

There's a plan in the community for a newer model with a bigger dataset in the future. The least I can reveal without jinxing it and promising much. pon., 22 kwi 2024, 19:49 użytkownik danny69boc ***@***.***> napisał:

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Thanks for the great model! I would love to create my own learning model like this model. Do you think it is possible to make a learning model that extracts only these sounds? So far I've had a lot of failures. https://soundcloud.com/nicole-268639085/test-file — Reply to this email directly, view it on GitHub <#4 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AIJ3EHCHPMV3I3ZNYOYERODY6VETBAVCNFSM6AAAAABGQGNCUWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDANZQGQYTMMZQGI> . You are receiving this because you commented.Message ID: ***@***.***>

[deton24]

The new drumsep model by jarredou and Aufr33 is out:
https://docs.google.com/document/d/17fjNvJzj8ZGSer7c7OFe_CNfUKbAxEh_OBv94ZdRG5c/edit#heading=h.2u19k7ty9b00

Works with UVR. Colab attached.
Better SDR than the original Drumsep. Expanded dataset and better model architecture.

Still, I'd recommend using only on (e.g. separated) drums