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Inference and training library for high-quality TTS models.

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We use TTS in an eLearning environment where we generate hundreds of videos per year. All of these videos must use the **same** exact voice for consistency. To use Parler-TTS...

code as below: ```python prompt1 = "Hey, how are you doing today?" prompt2 = "Hey, good." description = "A female speaker with a slightly low-pitched voice delivers her words quite...

Is there any streaming support for this model? if there is a way to do it i would love to get involved and help out!

Given a 10k hour dataset of singing vocals (_instead of the current audiobook reading content_), could this model be ported to be able to sing/generate vocals?

Does it support Chinese?

When I run the sample script I keep getting this error message among others...not sure how dire it is or whether it even impacts performance... ``` You set `add_prefix_space`. The...

coexistance -> coexistence

Running the following code: ``` from parler_tts import ParlerTTSForConditionalGeneration from transformers import AutoTokenizer import soundfile as sf import torch device = "cuda:0" if torch.cuda.is_available() else "cpu" model = ParlerTTSForConditionalGeneration.from_pretrained("parler-tts/parler_tts_mini_v0.1").to(device) tokenizer...

Suppose we have to train this TTS model on a language and the tokens of that language are not in the Flan-T5 transformer. So can I simply change the name...