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I am training the vanilla DDSP model (ae.gin), on my custom guitar dataset that has a sample rate= 44.1kHz.
One thing that I have learned is for this high sr; I will have to modify the SpectralLoss to have a higher fft_sizes!
But during the training, I noticed that my audio clip is being generated from the filtered noise component and the harmonic component is not getting trained!
I discovered this because I checked the spectrograms of the output signals from harmonic and the noise components!
I have trained for about 50k steps, and the loss has been steady for a while now (6.x)
I don't understand why this happens and what I should be doing to fix this.
I am training the vanilla DDSP model (
ae.gin
), on my custom guitar dataset that has a sample rate= 44.1kHz.One thing that I have learned is for this high sr; I will have to modify the SpectralLoss to have a higher fft_sizes!
But during the training, I noticed that my audio clip is being generated from the filtered noise component and the harmonic component is not getting trained!
I discovered this because I checked the spectrograms of the output signals from harmonic and the noise components!
I have trained for about 50k steps, and the loss has been steady for a while now (6.x)
I don't understand why this happens and what I should be doing to fix this.
The commands I used: #20 (comment)
I am attaching the screenshots of harmonic and noise components here!
(Resynthesized) Harmonic Component
(Resynthesized) Noise Component
(Resynthesized) Harmonic + Noise Component
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