Results 171 to 180 of about 417,336 (324)
ABSTRACT In 2019, the Australian government established the Royal Commission into Violence, Abuse, Neglect and Exploitation of People with Disability (‘Disability Royal Commission’, DRC) to investigate widespread mistreatment of people with disability. Nearly 10,000 people with disability, their families and supporters engaged with the DRC.
Kate D'Cruz +7 more
wiley +1 more source
Speech Emotion Recognition Based on Modified ReliefF. [PDF]
Li GM, Liu N, Zhang JA.
europepmc +1 more source
An ongoing review of speech emotion recognition
J. Lope, Manuel Graña
semanticscholar +1 more source
‘I Don't Babysit’: Stay‐at‐Home Dads' Perspectives and Experiences Within Australian Society
ABSTRACT Stay‐at‐home‐dads are an emerging group in Australia, impacted by societal assumptions and expectations. However, there is a scarcity of research on the perspectives and experiences of fathers assuming stay‐at‐home dad roles within Australian society.
Elyse Manie +3 more
wiley +1 more source
IoT-Enabled WBAN and Machine Learning for Speech Emotion Recognition in Patients. [PDF]
Olatinwo DD +3 more
europepmc +1 more source
ABSTRACT Diagnoses of autism spectrum disorder in Australia have increased considerably in recent years. The current study investigated how the National Disability Insurance Scheme (NDIS) impacts quality of life (QoL) among carers of children with autism spectrum disorder.
Jesse Gerhard, Sharon L. Grant
wiley +1 more source
Quantum AI in Speech Emotion Recognition. [PDF]
Norval M, Wang Z.
europepmc +1 more source
ABSTRACT Australia's Closing the Gap reform aims to address disparities experienced by Aboriginal and Torres Strait Islander peoples. There are specific targets focussed on key educational transitions; yet, the transition to secondary education is not a targeted priority.
Azhar Hussain Potia +3 more
wiley +1 more source
Assessing random forest performance in low resource speech emotion recognition. [PDF]
Adeel M +4 more
europepmc +1 more source
Speech emotion recognition using machine learning techniques: Feature extraction and comparison of convolutional neural network and random forest. [PDF]
Rezapour Mashhadi MM, Osei-Bonsu K.
europepmc +1 more source

