Automatic quantitative analysis of spontaneous aphasic speech

D Le, K Licata, EM Provost - Speech Communication, 2018 - Elsevier
Spontaneous speech analysis plays an important role in the study and treatment of aphasia,
but can be difficult to perform manually due to the time consuming nature of speech …

[HTML][HTML] HEAR4Health: a blueprint for making computer audition a staple of modern healthcare

A Triantafyllopoulos, A Kathan, A Baird… - Frontiers in Digital …, 2023 - frontiersin.org
Recent years have seen a rapid increase in digital medicine research in an attempt to
transform traditional healthcare systems to their modern, intelligent, and versatile …

AI based speech language therapy using speech quality parameters for aphasia person: a comprehensive review

KR Jothi, SS Sivaraju… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Aphasia is a communication disorder that hinders the ability to express and communicate
with society. Aphasia individual can face difficulties in sentence formation, opinions and …

Automatic assessment of speech intelligibility for individuals with aphasia

D Le, K Licata, C Persad… - IEEE/ACM transactions on …, 2016 - ieeexplore.ieee.org
Traditional in-person therapy may be difficult to access for individuals with aphasia due to
the shortage of speech-language pathologists and high treatment cost. Computerized …

Tabby Talks: An automated tool for the assessment of childhood apraxia of speech

M Shahin, B Ahmed, A Parnandi, V Karappa… - Speech …, 2015 - Elsevier
Children with developmental disabilities such as childhood apraxia of speech (CAS) require
repeated intervention sessions with a speech therapist, sometimes extending over several …

[PDF][PDF] Improving Automatic Recognition of Aphasic Speech with AphasiaBank.

D Le, EM Provost - Interspeech, 2016 - isca-archive.org
Automatic recognition of aphasic speech is challenging due to various speech-language
impairments associated with aphasia as well as a scarcity of training data appropriate for …

Automatic speech recognition: A primer for speech-language pathology researchers

J Keshet - International journal of speech-language pathology, 2018 - Taylor & Francis
Automatic speech recognition (ASR) is increasingly becoming an integral component of our
daily lives. This trend is in large part due to recent advances in machine learning, and …

[PDF][PDF] Automatic Paraphasia Detection from Aphasic Speech: A Preliminary Study.

D Le, K Licata, EM Provost - Interspeech, 2017 - isca-archive.org
Aphasia is an acquired language disorder resulting from brain damage that can cause
significant communication difficulties. Aphasic speech is often characterized by errors known …

[HTML][HTML] Automatic assessment of prosodic quality in down syndrome: Analysis of the impact of speaker heterogeneity

M Corrales-Astorgano, P Martínez-Castilla… - Applied sciences, 2019 - mdpi.com
Prosody is a fundamental speech element responsible for communicative functions such as
intonation, accent and phrasing, and prosodic impairments of individuals with intellectual …

Pronunciation assessment of Japanese learners of French with GOP scores and phonetic information

V Laborde, T Pellegrini, L Fontan, J Mauclair… - Annual conference …, 2016 - hal.science
In this paper, we report automatic pronunciation assessment experiments at phone-level on
a read speech corpus in French, collected from 23 Japanese speakers learning French as a …