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A preliminary application of principal components and cluster analysis to internal tongue deformation patterns

机译：主成分和集群分析对内部舌扭曲变形模式的初步应用

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Complex patterns of muscle contractions create gross tongue motion during speech. It is of scientific and medical importance to better understand speech motor strategies and variations due to language or disorders. Dense patterns of tongue motion can be imaged using tagged MRI, but characterization of motion strategies is difficult using visualization alone. This paper explores the use of principal component analysis for dimensionality reduction and cluster analysis for tongue motion categorization. Velocity fields were acquired and analyzed from midsagittal tongue slices during motion from /i/ to /u/ for 8 data sets containing multiple languages and a glossectomy patient. The analyses were carried out on tongue-only and tongue-plus-floor of mouth regions. Results showed that both analyses were sensitive to region size, and that cluster analysis was harder to interpret. Both analyses grouped the Japanese speaker with the glossectomy patient which although explicable with biologically plausible reasons, highlights the limitations of extensive data reduction.

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