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DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

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I"m running the this command to generate unconditional samples. `python -m diffwave.inference --fast /path/to/model -o output.wav` I've trained for almost 4k epochs on 7k+ sounds. I seem to get the...

I found some automatic evaluation metrics mentioned in the paper, where can I find these scripts so that I can reproduce the result and compare with others method. ![image](https://user-images.githubusercontent.com/36092323/168213213-319472c0-a5fb-44b6-ad8a-cdba9a05c60e.png)

Hello. I am having an issue when using your code. If I try to resume a training from a checkpoint when having more than one GPU (I am using docker...

Hi, I wander why using subset of Speech Command to train but not the whole dataset? In my experiments, diffusion model cannot handle dataset of a large data scale (1M...

As in, train the vocoder just on one speaker, and when you inference, even with another speaker, it will sound like the one you trained on?

Heya creator, thanks for your amazing contribution to implement diffwave model. I have a general question about the fientune the diffwave. If I use only one prompt voice to fine-tune...

the required spectrogram form is like [N,C,W]. spectrogram = # get your hands on a spectrogram in [N,C,W] format could you please explain these three dimensions? I use the code...

I'm trying to run inference using a pretrained diffwave model on the output of a SepFormer model (separating a 2 speaker mixture). Creating the mel spectrogram and calling predict ```...

concurrent.futures.process.BrokenProcessPool: A process in the process pool was terminated abruptly while the future was running or pending.