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I follow your tips on training the mfa acoustic model but cannot get labels on aishell3 as accurate as the one you offered.
I see there is 'sp' in the alignment result and its position is suprisingly accurate. I compared it with the one aishell3 dataset itself offered, and find the one you offered is more accurate. For example:
The sentence "广州%女大学生%登山%失联%四天%警方%找到%疑似%女尸$"。After listening to the original wave file, I find there should be a pause between "登" and "山", which is missed by this dataset. But in the textgrid files that you offer, there is a "sp" between the phones "eng1" and "sh". I wonder how you success to produce this accurate pause label? The mfa acoustic model that I train on aishell3 does not produce this label.
The text was updated successfully, but these errors were encountered:
SandroChen
changed the title
How do you train mandarin mfa model?
How do you train mfa acoustic model?
May 6, 2023
SandroChen
changed the title
How do you train mfa acoustic model?
How do you train the mfa acoustic model?
May 6, 2023
I follow your tips on training the mfa acoustic model but cannot get labels on aishell3 as accurate as the one you offered.
I see there is 'sp' in the alignment result and its position is suprisingly accurate. I compared it with the one aishell3 dataset itself offered, and find the one you offered is more accurate. For example:
The sentence "广州%女大学生%登山%失联%四天%警方%找到%疑似%女尸$"。After listening to the original wave file, I find there should be a pause between "登" and "山", which is missed by this dataset. But in the textgrid files that you offer, there is a "sp" between the phones "eng1" and "sh". I wonder how you success to produce this accurate pause label? The mfa acoustic model that I train on aishell3 does not produce this label.
The text was updated successfully, but these errors were encountered: