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Quasimondo avatar Quasimondo commented on June 4, 2024 4

Ah okay - I guess I have to run my estimator again for different sigmas, to see how it affects the factors. Anyway, here is my preliminary lookup table, maybe it's useful:
https://gist.github.com/Quasimondo/eadebf73796a10d624b9f98092a9b81f

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rafaelvalle avatar rafaelvalle commented on June 4, 2024

It depends on the speech rate. A simple approximation is 8 frames per token.

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Quasimondo avatar Quasimondo commented on June 4, 2024

Ah, good to know. And the total length of tokens is the length of the tensor after the cleaning and transformation: trainset.get_text(text)?

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Quasimondo avatar Quasimondo commented on June 4, 2024

After calculating test sentences for all the speakers it seems like the approximation factor is closer to 6, though I am not sure how sigma and temperature factor further into this.

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rafaelvalle avatar rafaelvalle commented on June 4, 2024

Yes, length of the tensor after cleaning and transformation.
Add some headroom to account for variation coming from your sigma value.

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rafaelvalle avatar rafaelvalle commented on June 4, 2024

Thank you for compiling this!

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