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Predicting developmental language disorders using artificial intelligence and a speech data analysis tool

Published:2023-08-16 Issue:1-2 Volume:39 Page:8-42
ISSN:0737-0024
Container-title:Human–Computer Interaction
language:en
Short-container-title:Human–Computer Interaction

Author:

Beccaluva Eleonora Aida¹²^ORCID,Catania Fabio²^ORCID,Arosio Fabrizio¹³^ORCID,Garzotto Franca²^ORCID

Affiliation:

1. Department of Psychology, Università Degli Studi Milano-Bicocca, Milano, Italy

2. Department of Electronics, Information, and Bio-engineering, Politecnico di Milano, Milano, Italy

3. Mcgovern Institute for Brain Research at MIT, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,Applied Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07370024.2023.2242837

Reference138 articles.

1. Psychometric Properties of the Arabic Version of the Behavioral Intention to Interact With Peers With Intellectual Disability Scale

2. American Psychiatric Association, A. P. & American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, DSM-5 (5th ed.). Arlington, VA: American Psychiatric Association.

3. Failure to produce direct object clitic pronouns as a clinical marker of SLI in school-aged Italian speaking children

4. Temporal Control of Movements in Sensorimotor Synchronization

5. Shared Processing of Language and Music

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1. Introduction to this special issue on intelligent systems for people with diverse cognitive abilities;Human–Computer Interaction;2023-09-06

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