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Quantification of Transducer Misalignment in Ultrasound Tongue Imaging | | Tamás Gábor Csapó
; Kele Xu
; | | Date: |
6 Aug 2020 | | Abstract: | In speech production research, different imaging modalities have been
employed to obtain accurate information about the movement and shaping of the
vocal tract. Ultrasound is an affordable and non-invasive imaging modality with
relatively high temporal and spatial resolution to study the dynamic behavior
of tongue during speech production. However, a long-standing problem for
ultrasound tongue imaging is the transducer misalignment during longer data
recording sessions. In this paper, we propose a simple, yet effective,
misalignment quantification approach. The analysis employs MSE distance and two
similarity measurement metrics to identify the relative displacement between
the chin and the transducer. We visualize these measures as a function of the
timestamp of the utterances. Extensive experiments are conducted on a Hungarian
and Scottish English child dataset. The results suggest that large values of
Mean Square Error (MSE) and small values of Structural Similarity Index (SSIM)
and Complex Wavelet SSIM indicate corruptions or issues during the data
recordings, which can either be caused by transducer misalignment or lack of
gel. | | Source: | arXiv, 2008.02470 | | Services: | Forum | Review | PDF | Favorites | |
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