Closed GeorgeS2019 closed 11 months ago
NeMo provides German models. Writing phonemizers/tokenizers for German should not be difficult.
@kaiidams I went through NeMo, I could not find how German is supported. Any link would really appreciate.
This page lists available models https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/tts/checkpoints.html
If you have NeMo installed. You can run
from nemo.collections.tts.models.base import SpectrogramGenerator, Vocoder
from nemo.collections.asr.models import EncDecCTCModel
SpectrogramGenerator.list_available_models()
Vocoder.list_available_models()
EncDecCTCModel.list_available_models()
to get lists.
[PretrainedModelInfo(
pretrained_model_name=QuartzNet15x5Base-En,
description=QuartzNet15x5 model trained on six datasets: LibriSpeech, Mozilla Common Voice (validated clips from en_1488h_2019-12-10), WSJ, Fisher, Switchboard, and NSC Singapore English. It was trained with Apex/Amp optimization level O1 for 600 epochs. The model achieves a WER of 3.79% on LibriSpeech dev-clean, and a WER of 10.05% on dev-other. Please visit https://ngc.nvidia.com/catalog/models/nvidia:nemospeechmodels for further details.,
location=https://api.ngc.nvidia.com/v2/models/nvidia/nemospeechmodels/versions/1.0.0a5/files/QuartzNet15x5Base-En.nemo
),
PretrainedModelInfo(
pretrained_model_name=stt_en_quartznet15x5,
description=For details about this model, please visit https://ngc.nvidia.com/catalog/models/nvidia:nemo:stt_en_quartznet15x5,
location=https://api.ngc.nvidia.com/v2/models/nvidia/nemo/stt_en_quartznet15x5/versions/1.0.0rc1/files/stt_en_quartznet15x5.nemo
),
PretrainedModelInfo(
...
Any suggestion which pair to use? If I understand correctly?
I will read more and come back. Thank you
Writing phonemizers/tokenizers for German should not be difficult.
For German TTS
Possible to support German language