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tts_ru_hifigan_ruslan
bene-ges/tts_ru_hifigan_ruslan
tts_ru_hifigan_ruslan is a text-to-speech model from bene-ges. Use it when you need text read aloud. It is set up for nemo. The card lists the license as cc-by-nc-4.0.
See example of inference pipeline for Russian TTS (G2P + FastPitch + HifiGAN) in this notebook. Or use this bash-script.
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At a glance
- Task
- Text-to-Speech
- Library
- nemo
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Apr 18, 2023
- Updated
- Sep 18, 2023
- SHA
- c34c9845
Model card
From the Hugging Face model README
How to use
See example of inference pipeline for Russian TTS (G2P + FastPitch + HifiGAN) in this notebook. Or use this bash-script.
Input
This model accepts batches of mel spectrograms.
Output
This model outputs audio at 22050Hz.
Training
The NeMo toolkit [1] was used for training the model for several epochs. Full training script is here.
Datasets
This model is trained on RUSLAN [2] corpus (single speaker, male voice) sampled at 22050Hz.
References
- [1] NVIDIA NeMo Toolkit
- [2] Gabdrakhmanov L., Garaev R., Razinkov E. (2019) RUSLAN: Russian Spoken Language Corpus for Speech Synthesis. In: Salah A., Karpov A., Potapova R. (eds) Speech and Computer. SPECOM 2019. Lecture Notes in Computer Science, vol 11658. Springer, Cham
- Task
- Text-to-Speech
- Library
- nemo
- License
- cc-by-nc-4.0
- Languages
- ru
- Created
- Apr 18, 2023
- Updated
- Sep 18, 2023