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how to train the model with Token/s about 23, that is hopsize=1024 #35
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There are three key considerations to note: 1.The downsampling process should adhere to sampling rate constraints. 2.When modifying the downsampling rate, corresponding adjustments to the hop length and n_fft parameters should be made accordingly. 3.If minimized the number of tokens is your objective, I recommend utilizing audio with a sampling rate of 16 kHz |
Thank you for your reply! |
There are many options, you can try the following configuration, and then adjust the parameters such as downsamples=[8,5,4,4], sample_rate=16000, hop_length=640, n_fft=2560 |
Thanks a lot! I will try to train using this config! |
Hi, wondering how to tune the n_fft parameter when adjusting hop_length. |
I try to train the model with hopsize=1024, shout 23 tokens per second, I only change the upsample_rates to [8,8,4,4] and num_samples to 71680. The trainning is running now, but the results seems not, the synthesized wave is not intelligent, not very good.
What is a good config?
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