UltraSuite: A Repository of Ultrasound and Acoustic Data from Child Speech Therapy Sessions

Abstract

We introduce UltraSuite, a curated repository of ultrasound and acoustic data, collected from recordings of child speech therapy sessions. This release includes three data collections, one from typically developing children and two from children with speech sound disorders. In addition, it includes a set of annotations, some manual and some automatically produced, and software tools to process, transform and visualise the data.

arXiv comment5 pages, 1 figure, 3 tables; accepted to Interspeech 2018: 19th Annual Conference of the International Speech Communication Association (ISCA)

Cited by in corpus (10)

• Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors
• Speaker-independent classification of phonetic segments from raw ultrasound in child speech
• A CNN-based tool for automatic tongue contour tracking in ultrasound images
• Automatic audiovisual synchronisation for ultrasound tongue imaging
• IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision
• BowNet: Dilated Convolution Neural Network for Ultrasound Tongue Contour Extraction
• Classifying Rhoticity of /r/ in Speech Sound Disorder using Age-and-Sex Normalized Formants
• Automated Classification of Phonetic Segments in Child Speech Using Raw Ultrasound Imaging
• Convolutional Neural Network-Based Age Estimation Using B-Mode Ultrasound Tongue Image
• Quantification of Transducer Misalignment in Ultrasound Tongue Imaging