Comments (2)
Hi Haroon! Glad to hear you have a working system for Adyga.
Just for inference, you don't need the embedding model and the aligner model, you only need the phoneme-to-spectrogram and spectrogram-to-audio model. The embedding model is only needed if you want to switch the voice, but you could also just save some presets. I have no plans regarding Java support or optimizing for mobile use. My priority list right now is enhancing the multispeaker capabilities by scaling up the amounts of data used and then making the model speak as many languages as possible. Since this is all just research code, I don't plan to optimize for inference on any device or make it production safe to use in products. This is just a playground for experiments.
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Thanks for the clarification and the other details!!
from ims-toucan.
Related Issues (20)
- raining Issue: Reconstruction Loss Resets After Some Epochs HOT 2
- Dependencies Conflicts HOT 14
- Error when passing a reference_speaker in read_texts function after installing Toucan as described in issue #171 HOT 21
- Error when trying to run an example with Kyrgyz HOT 2
- License clarification for dataset and weights HOT 2
- Typographical Error in README.md HOT 1
- NO module name Architectures. I am trying to train on a new language. HOT 13
- Inquiry about Testing for Chinese Dialects HOT 2
- Voice cloning not working HOT 3
- unable to do voice cloning with arabic HOT 3
- I am not able to find Indian-english accent ("en-in"). HOT 1
- Question Regarding Device Specs HOT 1
- Which recipe to use for training from scratch? HOT 7
- English to another language synthesis HOT 4
- Nancy availability? HOT 2
- Inference speed HOT 2
- Minor issue: the requirements.txt file is encoded as a UTF-16
- New issue after upgrading to new version HOT 1
- Aligner stage: RuntimeError: element 0 of tensors does not require grad
- Finetuning doesn't produce better results
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from ims-toucan.