A system that uses AV-HuBERT to recognize words from rtMRI vocal tract videos and VITS to speak them in a new voice reaches 15.18% WER on USC-TIMIT.
Direct speech reconstruction from articulatory sensor data by machine learning,
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MRI2Speech: Speech Synthesis from Articulatory Movements Recorded by Real-time MRI
A system that uses AV-HuBERT to recognize words from rtMRI vocal tract videos and VITS to speak them in a new voice reaches 15.18% WER on USC-TIMIT.