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Grant: Idea to Innovation

Memorial University of Newfoundland

$15,000.00

SpeechCatcher: A universal platform for speech assessment

EF 2022-23

Résumé
Professionals working in the areas of speech therapy typically rely on traditional, form-filling methods to assess language development and speech disorders. There is virtually no modern technology to support their needs. Likewise, academic researchers in speech acquisition and language disorders must scaffold various devices and software programs to conduct their research. Only a few computer-based speech assessments are available, and they are limited to only a few languages (primarily, English); these assessments also mostly consist of digital renditions of form-based assessments, with no support for audio recording, automated measures, or data archival. In sum, there is currently no unifying technological solution to build speech assessments, run these assessments, and analyze the speech productions obtained from these assessments in a systematic or timely fashion. SpeechCatcher is a software program designed to create and run speech assessment tests used by speech therapists, language educators and academic researchers in the areas of speech acquisition and language disorders. Compatible with all mainstream desktop, laptop, and tablet computer platforms, SpeechCatcher will include algorithms for speech data processing and analysis which are readily compatible with the speech systems of all human languages, including the languages and dialects spoken by Indigenous and minority populations worldwide. Using SpeechCatcher, clinicians and academics will be able to quickly access, build or modify fully computerized speech assessments, run these assessments with adult and child participants (or clients) alike, record and process the speech data obtained from them, and extract reports needed to assess performance and/or identify markers of speech disorders. Because our algorithms for speech data processing and analysis are conceived to support the speech properties of all human languages, SpeechCatcher will offer a ready and unifying solution to the global market.
Programme
Idea to Innovation
Emplacement
Newfoundland and Labrador, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
571914-2022
Name nom
Rose, Yvan Y
Department département
Linguistics
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
15000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1100
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Health, education and social services
Area of application fr
Santé publique, éducation et services sociaux
Research subject code
6306
Research subject group en
Psychology
Research subject group fr
Psychologie
Research subject en
Cognitive science -- language
Research subject fr
Science cognitive -- langage
Installment
inst:1
Partie
1
Nb partie
1
Application title
SpeechCatcher: A universal platform for speech assessment
Application summary
Professionals working in the areas of speech therapy typically rely on traditional, form-filling methods to assess language development and speech disorders. There is virtually no modern technology to support their needs. Likewise, academic researchers in speech acquisition and language disorders must scaffold various devices and software programs to conduct their research. Only a few computer-based speech assessments are available, and they are limited to only a few languages (primarily, English); these assessments also mostly consist of digital renditions of form-based assessments, with no support for audio recording, automated measures, or data archival. In sum, there is currently no unifying technological solution to build speech assessments, run these assessments, and analyze the speech productions obtained from these assessments in a systematic or timely fashion. SpeechCatcher is a software program designed to create and run speech assessment tests used by speech therapists, language educators and academic researchers in the areas of speech acquisition and language disorders. Compatible with all mainstream desktop, laptop, and tablet computer platforms, SpeechCatcher will include algorithms for speech data processing and analysis which are readily compatible with the speech systems of all human languages, including the languages and dialects spoken by Indigenous and minority populations worldwide. Using SpeechCatcher, clinicians and academics will be able to quickly access, build or modify fully computerized speech assessments, run these assessments with adult and child participants (or clients) alike, record and process the speech data obtained from them, and extract reports needed to assess performance and/or identify markers of speech disorders. Because our algorithms for speech data processing and analysis are conceived to support the speech properties of all human languages, SpeechCatcher will offer a ready and unifying solution to the global market.