Ultrasound Tongue Imaging for Diarization and Alignment of Child Speech Therapy Sessions

Manuel Sam Ribeiro, Aciel Eshky, Korin Richmond, Steve Renals


We investigate the automatic processing of child speech therapy sessions using ultrasound visual biofeedback, with a specific focus on complementing acoustic features with ultrasound images of the tongue for the tasks of speaker diarization and time-alignment of target words. For speaker diarization, we propose an ultrasound-based time-domain signal which we call estimated tongue activity. For word-alignment, we augment an acoustic model with low-dimensional representations of ultrasound images of the tongue, learned by a convolutional neural network. We conduct our experiments using the Ultrasuite repository of ultrasound and speech recordings for child speech therapy sessions. For both tasks, we observe that systems augmented with ultrasound data outperform corresponding systems using only the audio signal.


 DOI: 10.21437/Interspeech.2019-2612

Cite as: Ribeiro, M.S., Eshky, A., Richmond, K., Renals, S. (2019) Ultrasound Tongue Imaging for Diarization and Alignment of Child Speech Therapy Sessions. Proc. Interspeech 2019, 16-20, DOI: 10.21437/Interspeech.2019-2612.


@inproceedings{Ribeiro2019,
  author={Manuel Sam Ribeiro and Aciel Eshky and Korin Richmond and Steve Renals},
  title={{Ultrasound Tongue Imaging for Diarization and Alignment of Child Speech Therapy Sessions}},
  year=2019,
  booktitle={Proc. Interspeech 2019},
  pages={16--20},
  doi={10.21437/Interspeech.2019-2612},
  url={http://dx.doi.org/10.21437/Interspeech.2019-2612}
}