Arron Hsueh

icon company National Tsing Hua University icon location Taiwan icon location Audio Signal Processing, Deep Learning

Results 7 comments of Arron Hsueh

Multi-resolution loss

Hi Rikorose, Thanks for such a quick reply. Well, I think I misunderstood. Because MR loss is processed after mask and DF, there is no need to change bins. If...

Multi-resolution loss

Ok, I got it, thanks for your explanation.

Lookahead in compute_rnn (c++)

Hi Noh, Thanks for your reply. Yes, I am confused about buffer. So we only feed a frame length data into the neural network? Because I am trying to construct...

Noise suppression fine tune

Hi, I found the result is good while using your website. Because I re-train the model by Keras, and Keras do not support grouped Conv2DTranspose layer. I will try to...

Noise suppression fine tune

Hi, I am checking the model inputs and found some differences. I can use numpy.rfft, vorbis window, and stft_norm get the same value with stft function. ``` stft_norm = 1...

Noise suppression fine tune

Hi, I try to use this command in enhance.py. `spec, erb_feat, spec_feat = df_features(audio, df_state, device=get_device())` and save `spec` as a npy files. Also, use ``` spec = torch.stft( audio,...

Pitch filtering question

Hi Cookcodes, Thanks for your sharing. I have some confuse about "envelope postfiltering". In rnnoise_process_frame function, the step is applied the pitch filtering after gain filter. But I think the...