Comments (3)
how can I do this manually? can anybody help?
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I don't think this is entirely true. I put in some text and I had something like "in the butt, yeah in the butt!" and it spoke the last part where it raised the pitch of yeah and said it more excited and made it feel like an exclamation(as if it took into account !).
So there are some nuances. Maybe there should be some way to modify the speech a bit with "special tokens" that can raise or lower the pitch or increase the speed or whatever. I think this would require, for it to work, someone to categorize a training set that way else it likely won't feel natural.
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@Aphexus lol. yes.. there are.. but they are not the same of the speakers..
like:
from TTS.api import TTS
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to("cpu")
t=open('text.txt', 'r').read().replace('\n','')
tts.tts_to_file(text=t, speaker_wav=["./speaker1.wav","./speaker2.wav"], language="en", file_path="test.wav")
no matter how long are the samples or how many, the foning intonation is not as the original even if the voice is similar.
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Related Issues (20)
- [Bug] Anyway to run this as docker-compose ? HOT 2
- [Bug] DDP not actually working HOT 1
- [Bug] 'tts_models/ben/fairseq/vits' model didn't found Character 'য়' not found in the vocabulary. HOT 1
- [Bug] Anyway to run this as docker-compose ? HOT 2
- [Bug] ValueError: Can't infer missing attention mask on `mps` device. Please provide an `attention_mask` or use a different device. HOT 5
- Add Support for laughter annotation in Fine-Tuning with a special token [Feature request]
- [Bug] Armenian Language model training fail HOT 3
- [Feature request] is it possible to initialize speaker_wav 1 time?
- Error: Could not install packages due to an OSError [Bug] HOT 5
- [Bug] Hoarseness in Higher-Pitched Female Voices with xtts-v2 after finetune HOT 1
- [Feature request] Can we add the batch inference or batch decoding for XTTS
- [Feature request] I just want the timbre feature embedding of the wav file. How to design the API to get it?
- Coqui is shutting down????
- [Bug] Official linked XTTS_v2 Google Colab throws: ibcublas.so.11 is not found HOT 1
- nvm it work fine just dll fixed work fine
- is their any docs for using onnx with it ?
- [Bug] torch.isin(elements=inputs, test_elements=pad_token_id).any() TypeError: isin() received an invalid combination of arguments - got (elements=Tensor, test_elements=int, ) HOT 2
- [Bug] tts_with_vc_to_file uses cuda even though "cpu" is specified as device
- Gradio Live , Create Dataset gives an error : ValueError: Requested float16 compute type, but the target device or backend do not support efficient float16 computation.
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