Kat Agres

Orcid: 0000-0001-7260-2447

According to our database1, Kat Agres authored at least 33 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
MERP: A Music Dataset with Emotion Ratings and Raters' Profile Information.
Sensors, 2023

Virtual Reality-Assisted Physiotherapy for Visuospatial Neglect Rehabilitation: A Proof-of-Concept Study.
CoRR, 2023

AffectMachine-Classical: A novel system for generating affective classical music.
CoRR, 2023

AI-Based Affective Music Generation Systems: A Review of Methods, and Challenges.
CoRR, 2023

2022
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses.
CoRR, 2022

Comparing Musicians and Non-musicians' Expectations in Music and Vision.
Proceedings of the AM '22: AudioMostly 2022, St. Pölten, 2022

2021
Web Platform for Visualisation of Kinematic Data captured from a Motor Tele-rehabilitation System.
CoRR, 2021

Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
From context to concept: exploring semantic relationships in music with word2vec.
Neural Comput. Appl., 2020

A dataset and classification model for Malay, Hindi, Tamil and Chinese music.
CoRR, 2020

nnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks.
IEEE Access, 2020

The Impact of Audio Input Representations on Neural Network based Music Transcription.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks.
CoRR, 2019

Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders.
CoRR, 2019

A Comparative Study of Mental States in 2D and 3D Virtual Environments Using EEG.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Untangling indices of emotion in music using neural networks.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Statistical Learning Ability as a Measure of Cognitive Function.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A novel music-based game with motion capture to support cognitive and motor function in the elderly.
Proceedings of the IEEE Conference on Games, 2019

2018
Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory.
Cogn. Sci., 2018

2017
Intelligibility of Sung Lyrics: A Pilot Study.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

From Bach to the Beatles: The Simulation of Human Tonal Expectation Using Ecologically-Trained Predictive Models.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

2016
Evaluation of Musical Creativity and Musical Metacreation Systems.
Comput. Entertain., 2016

Meta4meaning: Automatic Metaphor Interpretation Using Corpus-Derived Word Associations.
Proceedings of the Seventh International Conference on Computational Creativity, 2016

Modeling metaphor perception with distributional semantics vector space models.
Proceedings of the Workshop on Computational Creativity, 2016

2015
From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation.
J. Artif. Gen. Intell., 2015

Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines.
Proceedings of the Mathematics and Computation in Music - 5th International Conference, 2015

Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces.
Proceedings of the Sixth International Conference on Computational Creativity, 2015

Schematic Processing as a Framework for Learning and Creativity in CBR and CC.
Proceedings of the Workshop Proceedings from The Twenty-Third International Conference on Case-Based Reasoning (ICCBR 2015), 2015

A Computational Approach to Modelling the Perception of Pitch and Tonality in Music.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2013
An Information-Theoretic Account of Musical Expectation and Memory.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2010
An Auditory Twist On Visual Search Using Head Movement Controlled Ambisonics.
Proceedings of the 2010 International Computer Music Conference, 2010


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