Melissa N. Stolar

According to our database, Melissa N. Stolar authored at least 12 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Real-Time Team Performance and Workload Prediction From Voice Communications.

Catherine S. Rodriguez, Melissa N. Stolar, Simon G. Hosking, Dawei Jia, Margaret Lech

IEEE Access, 2022

2021

Cognitive Load Estimation From Speech Commands to Simulated Aircraft.

Maria Vukovic, Melissa N. Stolar, Margaret Lech

IEEE ACM Trans. Audio Speech Lang. Process., 2021

2020

Real-Time Speech Emotion Recognition Using a Pre-trained Image Classification Network: Effects of Bandwidth Reduction and Companding.

Margaret Lech, Melissa N. Stolar, Christopher J. Best, Robert S. Bolia

Frontiers Comput. Sci., 2020

Prediction of Inter-Personal Trust and Team Familiarity From Speech: A Double Transfer Learning Approach.

Catherine Sandoval Rodriguez, April Rose Panganiban, Melissa N. Stolar, Robert S. Bolia, Margaret Lech

IEEE Access, 2020

2019

Speech Acoustic Features Characterising Individuals with High and Low Public Trust.

Muhammad Shehram Shah Syed, Melissa N. Stolar, Elena Pirogova, Margaret Lech

Proceedings of the 13th International Conference on Signal Processing and Communication Systems, 2019

2018

Acoustic Characteristics of Emotional Speech Using Spectrogram Image Classification.

Melissa N. Stolar, Margaret Lech, Robert S. Bolia, Michael Skinner

Proceedings of the 12th International Conference on Signal Processing and Communication Systems, 2018

Using Deep Learning to Identify Potential Roof Spaces for Solar Panels.

Dorian House, Margaret Lech, Melissa N. Stolar

Proceedings of the 12th International Conference on Signal Processing and Communication Systems, 2018

2017

Towards autonomous machine reasoning: Multi-stage classification system with intermediate learning.

Melissa N. Stolar, Margaret Lech, Robert S. Bolia, Michael Skinner

Proceedings of the 11th International Conference on Signal Processing and Communication Systems, 2017

Real time speech emotion recognition using RGB image classification and transfer learning.

Melissa N. Stolar, Margaret Lech, Robert S. Bolia, Michael Skinner

Proceedings of the 11th International Conference on Signal Processing and Communication Systems, 2017

2015

Prediction of emotional states in parent-adolescent conversations using non-linear autoregressive neural networks.

Melissa N. Stolar, Margaret Lech, Ian S. Burnett

Proceedings of the 9th International Conference on Signal Processing and Communication Systems, 2015

Detection of depression in adolescents based on statistical modeling of emotional influences in parent-adolescent conversations.

Melissa N. Stolar, Margaret Lech, Nicholas B. Allen

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2013

Introducing Emotions to the Modelingof Intra- and Inter-Personal Influencesin Parent-Adolescent Conversations.

Melissa N. Stolar, Margaret Lech, Lisa Sheeber, Ian S. Burnett, Nicholas B. Allen

IEEE Trans. Affect. Comput., 2013