Melissa Stolar
Melissa Stolar
Verified email at rmit.edu.au
Title
Cited by
Cited by
Year
Real time speech emotion recognition using RGB image classification and transfer learning
MN Stolar, M Lech, RS Bolia, M Skinner
2017 11th International Conference on Signal Processing and Communication …, 2017
172017
Detection of depression in adolescents based on statistical modeling of emotional influences in parent-adolescent conversations
MN Stolar, M Lech, NB Allen
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
112015
Introducing emotions to the modelingof intra-and inter-personal influencesin parent-adolescent conversations
MN Stolar, M Lech, LB Sheeber, IS Burnett, NB Allen
IEEE Transactions on affective computing 4 (4), 372-385, 2013
102013
Amplitude-Frequency Analysis of Emotional Speech Using Transfer Learning and Classification of Spectrogram Images
M Lech, M Stolar, R Bolia, M Skinner
Advances in Science, Technology and Engineering Systems Journal 3 (4), 363-371, 2018
72018
Detection of adolescent depression from speech using optimised spectral roll-off parameters
MN Stolar, M Lech, SJ Stolar, NB Allen
Biomedical Journal 2, 10, 2018
62018
Optimized multi-channel deep neural network with 2D graphical representation of acoustic speech features for emotion recognition
MN Stolar, M Lech, IS Burnett
2014 8th International Conference on Signal Processing and Communication …, 2014
62014
Acoustic characteristics of emotional speech using spectrogram image classification
M Stola, M Lech, RS Bolia, M Skinner
2018 12th International Conference on Signal Processing and Communication …, 2018
22018
Acoustic and conversational speech analysis of depressed adolescents and their parents
M Stolar
22016
Real-Time Speech Emotion Recognition Using a Pre-Trained Image Classification Network: Effects of Bandwidth Reduction and Companding
M Lech, M Stolar, C Best, R Bolia
Frontiers in Computer Science 2, 14, 2020
12020
Using Deep Learning to Identify Potential Roof Spaces for Solar Panels
D House, M Lech, M Stolar
2018 12th International Conference on Signal Processing and Communication …, 2018
12018
Towards autonomous machine reasoning: Multi-stage classification system with intermediate learning
MN Stolar, M Lech, RS Bolia, M Skinner
2017 11th International Conference on Signal Processing and Communication …, 2017
12017
Prediction of emotional states in parent-adolescent conversations using non-linear autoregressive neural networks
MN Stolar, M Lech, IS Burnett
2015 9th International Conference on Signal Processing and Communication …, 2015
12015
Using the influence model coefficients and the random walk to predict emotional interactions in parent-child conversations
MN Stolar, M Lech, IS Burnett
2014 8th International Conference on Signal Processing and Communication …, 2014
12014
Speech Acoustic Features Characterising Individuals with High and Low Public Trust
MSS Syed, M Stolar, E Pirogova, M Lech
2019 13th International Conference on Signal Processing and Communication …, 2019
2019
Application of Sound Recognition Techniques for Identification of the Squeak and Rattle Noises
O Pogorilyi
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 255 (7), 204-209, 2017
2017
Patterns in Families with Clinically Depressed and Non-Depressed Adolescents. Clin Depress 2: 106. Clin Depress, an open access journal ISSN: 2572-0791 of speaker or being in a …
MN Stolar, M Lech, LB Sheeber, NB Allen
These estimates were given as [9]:(1) Where p denoted posterior, 2016
2016
Patterns in Families with Clinically Depressed and Non-Depressed Adolescents. Clin Depress 2: 106. doi: 10.4172/cdp. 1000106 of speaker or being in a state St at time t given a …
MN Stolar, M Lech, LB Sheeber, NB Allen
These estimates were given as [9]: 1 1 2 2 1 2 1 2|,,,,,,|,,,|,,, ˆ i i j i …, 2016
2016
Quantitative and qualitative insights into emotional interaction patterns in families with clinically depressed and non-depressed adolescents
M Stolar, M Lech, L Sheeber, N Allen
Clinical depression 2 (1), 1-7, 2016
2016
Patterns in Families with Clinically Depressed and Non-Depressed Adolescents. Clin Depress 2: 106. of speaker or being in a state St at time t given a set of previous N states …
MN Stolar, M Lech, LB Sheeber, NB Allen
These estimates were given as [9]:(1) Where p denoted posterior, 2016
2016
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Articles 1–19