Corpus ID: 220266099

Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images

@article{Saha2020Ultra2SpeechA,
  title={Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images},
  author={Pramit Saha and Yadong Liu and Bryan Gick and Sidney S. Fels},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.16367}
}

Pramit Saha, Yadong Liu, +1 author Sidney S. Fels

Published 2020

Engineering, Computer Science, Mathematics

ArXiv

Thousands of individuals need surgical removal of their larynx due to critical diseases every year and therefore, require an alternative form of communication to articulate speech sounds after the loss of their voice box. This work addresses the articulatory-to-acoustic mapping problem based on ultrasound (US) tongue images for the development of a silent-speech interface (SSI) that can provide them with an assistance in their daily interactions. Our approach targets automatically extracting… CONTINUE READING

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