-
Model Link: https://drive.google.com/open?id=10ymOlWHutqTtfDYhIbHULn2IKDKP0O9m
Colab example: https://colab.research.google.com/drive/1cpofjnfKSpFhiREgExENIsum4MrqxyPR
This model is trained with F…
-
Dear Kan-Bayashi,
Got two questions on your E2E-TTS mandarin demo on colab. Can help here?
### Download pretrained models
You can select Transformer or FastSpeech.
1) For mandarin demo, y…
-
@CorentinJ
How is your repo compared with Melgan?
https://github.com/seungwonpark/melgan
https://github.com/descriptinc/melgan-neurips
ghost updated
4 years ago
-
ljspeech.multi_band_melgan.v1 or ljspeech.multi_band_melgan.v2 give this strange result https://www.sendspace.com/file/98j4j4.
With ljspeech.full_band_melgan.v1 or other vocoders everything ok.
Than…
-
Hi! This is not really an issue, but I've got a question about the tensors mel_outputs and mel_outputs_postnet in the save_mel() function in inference.py.
When running inference I get a tensor of …
-
I have synthesize on Mandarin.But it seems too much noise,listen to the audio below. How can I do to decrease the noise. Also, it seems synthesize femal audio is better than male.
BTW: the audio…
-
I used GPU RTX 2080TI to train and infer model. Training time is so quick, but inference time so slow (I run gen_wavernn.py from wav file ). I saw that after upsample, the number of frames increase hu…
-
Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **Multi-Target Emotional Voice Conversion With Neural Vocoders**
- summary: Emotional voice conversion (…
-
Let's discuss neural vocoder support.
1. Types
- Parallel WaveGAN (PWG), MelGAN
I can easily implement these two since I am familiar with it. Kan-bayashi has packed his repo so we can simply `p…
-
Hello,
I am a bit new to TTS & STT systems but am on the lookout for a very good implementation.
From my research so far, it seems that Melgan based vocoders are the latest and greatest thing as…