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hello, I want to know the current status of pydomino and other tools, such as qiuqiao/SOFA(https://github.com/qiuqiao/SOFA) or MFA. So, compared with these tools with a long history or tools based on deep learning, what advantages does pydomino have? How does the alignment accuracy compare with the above tools?
The text was updated successfully, but these errors were encountered:
pydomino is a phoneme-to-speech forced alignment tool for Japanese. In pydomino, we trained a network using binary phoneme features based on distinctive features. Experiments comparing pydomino to other tools have not been conducted because it is specifically designed for Japanese phonemes. Please see this article for more details.
hello, I want to know the current status of pydomino and other tools, such as qiuqiao/SOFA(https://github.com/qiuqiao/SOFA) or MFA. So, compared with these tools with a long history or tools based on deep learning, what advantages does pydomino have? How does the alignment accuracy compare with the above tools?
The text was updated successfully, but these errors were encountered: