Papers by Jun Rekimoto

1 papers
SSR7000: A Synchronized Corpus of Ultrasound Tongue Imaging for End-to-End Silent Speech Recognition (2022.lrec-1)

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Challenge: Existing models for silent speech recognition have not been able to capture large datasets.
Approach: They present a corpus of synchronized ultrasound tongue and lip images for silent speech recognition . they use a large dataset to exploit the performance of the end-to-end models .
Outcome: The proposed model outperforms existing models in a large dataset of ultrasound tongue and lip images . the dataset contains more utterances per person than any other based on ultrasound imaging .

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