Browsing School of Electronic Engineering and Computer Science by Author "Saitis, C"
Now showing items 1-20 of 26
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Brightness perception for musical instrument sounds: Relation to timbre dissimilarity and source-cause categories.
Saitis, C; Siedenburg, K (Acoustical Society of America., 2020-10)Timbre dissimilarity of orchestral sounds is well-known to be multidimensional, with attack time and spectral centroid representing its two most robust acoustical correlates. The centroid dimension is traditionally considered ... -
Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids
Saitis, C; Parvez, MZ; Kalimeri, K (2018) -
Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification
Delgado, A; Demirel, E; Subramanian, V; Saitis, C; Sandler, M; 19th Sound and Music Computing Conferences (2022-01-01)Vocal Percussion Transcription (VPT) is concerned with the automatic detection and classification of vocal percussion sound events, allowing music creators and producers to sketch drum lines on the fly. Classifier algorithms ... -
Differentiable Modelling of Percussive Audio with Transient and Spectral Synthesis
Shier, J; Caspe, F; Robertson, A; Sandler, M; Mcpherson, A; Saitis, C; Forum AcusticumDifferentiable digital signal processing (DDSP) techniques, including methods for audio synthesis, have gained attention in recent years and lend themselves to interpretability in the parameter space. However, current ... -
Disembodied Timbres: A Study on Semantically Prompted FM Synthesis
Hayes, B; Saitis, C; Fazekas, G (2022) -
Evidence for timbre space robustness to an uncontrolled online stimulus presentation
ZACHARAKIS, A; Hayes, B; Saitis, C; Pastiadis, K; Timbre 2020 (Timbre 2020, 2020-09-03) -
Explainable Modeling of Gender-Targeting Practices in Toy Advertising Sound and Music
Marinelli, L; Saitis, C; ICASSP 2024 Workshop XAISAThis study examines gender coding in sound and music, in a context where music plays a supportive role to other modalities, such as in toy advertising. We trained a series of binary XGBoost classifiers on handcrafted ... -
Gender-Coded Sound: Analysing the Gendering of Music in Toy Commercials via Multi-Task Learning
Marinelli, L; FAZEKAS, G; Saitis, C; 24th International Society for Music Information Retrieval Conference -
The language of sounds unheard: Exploring musical timbre semantics of large language models
Siedenburg, K; Saitis, C (2023-04-16) -
A Modulation Front-End for Music Audio Tagging
Vahidi, C; Fazekas, G; Saitis, C; The International Joint Conference on Neural NetworksConvolutional Neural Networks have been extensively explored in the task of automatic music tagging. The problem can be approached by using either engineered time-frequency features or raw audio as input. Modulation filter ... -
Multimodal Classification of Stressful Environments in Visually Impaired Mobility Using EEG and Peripheral Biosignals
Saitis, C; Kalimeri, K (2018-08-22)In this study, we aim to better understand the cognitive-emotional experience of visually impaired people when navigating in unfamiliar urban environments, both outdoor and indoor. We propose a multimodal framework based ... -
Musical Haptics: Introduction
Papetti, S; Saitis, C (2018) -
Neural Waveshaping Synthesis
Hayes, B; Saitis, C; Fazekas, G; Proceedings of the 22nd International Society for Music Information RetrievalWe present the Neural Waveshaping Unit (NEWT): a novel, lightweight, fully causal approach to neural audio synthesis which operates directly in the waveform domain, with an accompanying optimisation (FastNEWT) for efficient ... -
Perceptual evaluation of violins: A psycholinguistic analysis of preference verbal descriptions by experienced musicians
Saitis, C; Fritz, C; Scavone, GP; Guastavino, C; Dubois, D (2017-04) -
A review of differentiable digital signal processing for music and speech synthesis
Hayes, B; Shier, J; Fazekas, G; McPherson, A; Saitis, C (Frontiers Media, 2024-01-11)The term “differentiable digital signal processing” describes a family of techniques in which loss function gradients are backpropagated through digital signal processors, facilitating their integration into neural networks. ... -
Rigid-Body Sound Synthesis with Differentiable Modal Resonators
Diaz, R; Hayes, B; Saitis, C; Fazekas, G; Sandler, M; ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Institute of Electrical and Electronics Engineers (IEEE), 2023-06-04) -
The Role of Haptic Cues in Musical Instrument Quality Perception
Saitis, C; Jarvelainen, H; Fritz, C (2018) -
Sinusoidal Frequency Estimation by Gradient Descent
Hayes, B; Saitis, C; Fazekas, G (2023-01-01)Sinusoidal parameter estimation is a fundamental task in applications from spectral analysis to time-series forecasting. Estimating the sinusoidal frequency parameter by gradient descent is, however, often impossible as ... -
Sound of Care: Towards a Co-Operative AI Digital Pain Companion to Support People with Chronic Primary Pain
Del Sette, BM; Carnes, D; Saitis, C (Association for Computing Machinery, 2023-10-01)This work investigates the role of sound and technology in the everyday lives of people with chronic primary pain. Our primary goal was to inform the first participatory design workshop of Sound of Care, a new eHealth ... -
Soundscapes of morality: Linking music preferences and moral values through lyrics and audio.
Preniqi, V; Kalimeri, K; Saitis, C (2023)Music is a fundamental element in every culture, serving as a universal means of expressing our emotions, feelings, and beliefs. This work investigates the link between our moral values and musical choices through lyrics ...