Open X-CCS opened 3 years ago
https://github.com/alokprasad/LPCTron you can try that.
https://github.com/alokprasad/LPCTron you can try that.
hi, it seems Tacotron2 used Mel-spectrum as output features, but LPCnet still uses BFCC. How should I change the LPCnet features into Mel-spectrums? From your paper, it seems what I should do is to change the 20 dim features into 80 dim mels and remove the pitch embedding. Is that the case?
Two more questions.
Thanks a lot.
This demo is based on the paper[](url https://www.isca-speech.org/archive/pdfs/interspeech_2021/gong21_interspeech.pdf), so the detail could be found on that.
This demo is based on the paper[](url https://www.isca-speech.org/archive/pdfs/interspeech_2021/gong21_interspeech.pdf), so the detail could be found on that.
Thank you! I just read this paper, so I want to confirm the details, so I can realize this. The first question is about the LPCTron, and the latter two are the questions for your paper.
@Kristopher-Chen For the above two questions:
"it seems what I should do is to change the 20 dim features into 80 dim mels and remove the pitch embedding. Is that the case?"<--That is right.
@Kristopher-Chen For the above two questions:
- The original LPCNet is also use float type. https://github.com/alokprasad/LPCTron/blob/2337b5a1a5b3386c58cb7b3bac92b009721c9495/LPCNet/src/dump_data.c#L57
- Sorry I haven't tried it on 24k .
"it seems what I should do is to change the 20 dim features into 80 dim mels and remove the pitch embedding. Is that the case?"<--That is right.
@gongchenghhu one more question. How to extract LPC from mel spectrums? Any reference codes?
@Kristopher-Chen This code may be useful. https://github.com/Yablon/auorange
@Kristopher-Chen This code may be useful. https://github.com/Yablon/auorange
Thank you! But when testing, some clips happens like below, and this will make the training data terrible. How did you cope with this?
@gongchenghhu one more question about the sampling part. As no pitch features are provided, did you just ignore the temperature process used in the original LPCnet by pitch correlations?
@Kristopher-Chen For the pitch question, I I removed the pitch related network in the original LPCNet,and the input to the LPCNet does not contain any pitch information.
@Kristopher-Chen For the pitch question, I I removed the pitch related network in the original LPCNet,and the input to the LPCNet does not contain any pitch information
@gongchenghhu sorry, I meant pitch in the sampling part, not the network.
Still, I haven't solved the diverge problem caused by extracting lpcs from mel-spectrogram.
作者你好,谢谢你的分享!最近在学习lpcnet,请问下你有相应的代码可以跑起来自己训练吗?