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

Autor: Alan A Wrench, Manuel Sam Ribeiro, James M. Scobbie, Korin Richmond, Aciel Eshky, Zoe Roxburgh, Joanne Cleland
Rok vydání: 2019
Předmět:
FOS: Computer and information sciences
Sound (cs.SD)
Computer science
Speech recognition
Ultrasound and Acoustic Data
RJ101
Computer Vision and Pattern Recognition (cs.CV)
Computer Science - Computer Vision and Pattern Recognition
Speech Therapy
01 natural sciences
Speech therapy
Computer Science - Sound
Set (abstract data type)
030507 speech-language pathology & audiology
03 medical and health sciences
Typically developing
Audio and Speech Processing (eess.AS)
0103 physical sciences
otorhinolaryngologic diseases
FOS: Electrical engineering
electronic engineering
information engineering
Disordered Speech
010301 acoustics
Child Speech
Computer Science - Computation and Language
business.industry
Ultrasound
Image and Video Processing (eess.IV)
Process (computing)
Electrical Engineering and Systems Science - Image and Video Processing
3. Good health
Index (publishing)
0305 other medical science
business
Computation and Language (cs.CL)
Electrical Engineering and Systems Science - Audio and Speech Processing
Zdroj: Interspeech 2018
Eshky, A, Ribeiro, M S, Cleland, J, Richmond, K, Roxburgh, Z, Scobbie, J & Wrench, A 2018, UltraSuite: A Repository of Ultrasound and Acoustic Data from Child Speech Therapy Sessions . in INTERSPEECH 2018: Proceedings of the 19th Annual Conference of the International Speech Communication Association (ISCA) . Hyderabad, India, pp. 1888-1892, Interspeech 2018, Hyderabad, India, 2/09/18 . https://doi.org/10.21437/Interspeech.2018-1736
INTERSPEECH
DOI: 10.48550/arxiv.1907.00835
Popis: 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.
Comment: 5 pages, 1 figure, 3 tables; accepted to Interspeech 2018: 19th Annual Conference of the International Speech Communication Association (ISCA)
Databáze: OpenAIRE
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