meta-tasnet
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A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation
I need to convert the whole wav to mp3, but the current youtube_inference.ipynb seems to have only segments, That's not the feature I need! Are there any command line instructions?...
Bumps [numpy](https://github.com/numpy/numpy) from 1.18.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Hi, thank you for addressing my previous enquiry raised. Really appreciate it. I have another enquiry into the usage of dataset in this work. I have realised that even though...
Hello, I am very happy to read this program. I want to not apply the spectrum map to train this code. How should I do it?
I have now carried out extensive tests with the model. Unfortunately I found out that the output signal is always cut off at 22050 Hz. Although the actual output signal...
First, thanks for this implementation of improved TasNet model. Now the output produces 4 stems : bass, drum, other and vocal. How can I modify it to achieve 2 stems...
Could you tell me about the pretrained Model? How much time and what data set was used? and etc? thank you.
Since I came across this model rather accidentally and have now roughly flown over it, I noticed that this can apparently only separate mono signals so far. From a technical...
Hi there! Please improve model for files where are recorded acoustic guitar and voice
Bumps [torch](https://github.com/pytorch/pytorch) from 1.4.0 to 2.2.0. Release notes Sourced from torch's releases. PyTorch 2.2: FlashAttention-v2, AOTInductor PyTorch 2.2 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes...