Help with using this tool for creating TTS training data

[weedwind]

Hi,

Thank you very much for building this tool. I want to use it to segment/align libri-light for training TTS. I am new to this tool. Can anyone help me with the following questions:

1. If I want to segment the books to about 10 sec chunks (rather than 30), what hyperparameters I should change?
2. In the output, there are two sets of texts, lowercase with punctuations, and uppercase without punctuations, which one should I use as the ground truth for training TTS?

Thank you so much for any help.

[pkufool]

If I want to segment the books to about 10 sec chunks (rather than 30), what hyperparameters I should change?

text_search/examples/libriheavy/matching.py

Lines 101 to 103 in 7c452ed

	"min_duration": 2,
	"max_duration": 30,
	"expected_duration": (5, 20),

In the output, there are two sets of texts, lowercase with punctuations, and uppercase without punctuations, which one should I use as the ground truth for training TTS?

It's up to you, I will suggest to use texts with punctuations.

[weedwind]

@pkufool Thank you so much. From a quick look at the documentation, it looks to me that the texts with punctuations are the reference, and the uppercase ones are the output from ASR. I am wondering is the uppercase text equally accurate as the reference, if I want to use them to train TTS?

[pkufool]

No. If you don't want the punctuations, you can remove them and convert the punctuation texts to uppercase, it is not a good idea to use the ASR transcrptions to train TTS.