TY - JOUR
T1 - Development of a remote therapy tool for childhood apraxia of speech
AU - Parnandi, Avinash
AU - Karappa, Virendra
AU - Lan, Tian
AU - Shahin, Mostafa
AU - McKechnie, Jacqueline
AU - Ballard, Kirrie
AU - Ahmed, Beena
AU - Gutierrez-Osuna, Ricardo
PY - 2015/11/1
Y1 - 2015/11/1
N2 - We present a multitier system for the remote administration of speech therapy to children with apraxia of speech. The system uses a client-server architecture model and facilitates task-oriented remote therapeutic training in both in-home and clinical settings. The system allows a speech language pathologist (SLP) to remotely assign speech production exercises to each child through a web interface and the child to practice these exercises in the form of a game on a mobile device. The mobile app records the child's utterances and streams them to a back-end server for automated scoring by a speech-analysis engine. The SLP can then review the individual recordings and the automated scores through a web interface, provide feedback to the child, and adapt the training program as needed. We have validated the system through a pilot study with children diagnosed with apraxia of speech, their parents, and SLPs. Here, we describe the overall client-server architecture, middleware tools used to build the system, speech-analysis tools for automatic scoring of utterances, and present results from a clinical study. Our results support the feasibility of the system as a complement to traditional face-to-face therapy through the use of mobile tools and automated speech analysis algorithms.
AB - We present a multitier system for the remote administration of speech therapy to children with apraxia of speech. The system uses a client-server architecture model and facilitates task-oriented remote therapeutic training in both in-home and clinical settings. The system allows a speech language pathologist (SLP) to remotely assign speech production exercises to each child through a web interface and the child to practice these exercises in the form of a game on a mobile device. The mobile app records the child's utterances and streams them to a back-end server for automated scoring by a speech-analysis engine. The SLP can then review the individual recordings and the automated scores through a web interface, provide feedback to the child, and adapt the training program as needed. We have validated the system through a pilot study with children diagnosed with apraxia of speech, their parents, and SLPs. Here, we describe the overall client-server architecture, middleware tools used to build the system, speech-analysis tools for automatic scoring of utterances, and present results from a clinical study. Our results support the feasibility of the system as a complement to traditional face-to-face therapy through the use of mobile tools and automated speech analysis algorithms.
KW - Automated speech analysis
KW - Childhood apraxia of speech
KW - Speech therapy
UR - http://www.scopus.com/inward/record.url?scp=84954190775&partnerID=8YFLogxK
U2 - 10.1145/2776895
DO - 10.1145/2776895
M3 - Article
AN - SCOPUS:84954190775
SN - 1936-7228
VL - 7
SP - 1
EP - 23
JO - ACM Transactions on Accessible Computing
JF - ACM Transactions on Accessible Computing
IS - 3
M1 - 2776895
ER -