Adapting the quality of experience framework for audio archive evaluation A Ragano, E Benetos, A Hines 2019 Eleventh International Conference on Quality of Multimedia Experience …, 2019 | 18 | 2019 |
Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction H Becerra, A Ragano, A Hines Proc. Interspeech 2022, 2022 | 16 | 2022 |
More for less: Non-intrusive speech quality assessment with limited annotations A Ragano, E Benetos, A Hines 2021 13th International Conference on Quality of Multimedia Experience …, 2021 | 13 | 2021 |
Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset M Chinen, J Skoglund, CKA Reddy, A Ragano, A Hines Proc. Interspeech 2022, 2022 | 10 | 2022 |
Learning music representations with wav2vec 2.0 A Ragano, E Benetos, A Hines 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science …, 2023 | 9 | 2023 |
Fusion confusion: Exploring ambisonic spatial localisation for audio-visual immersion using the McGurk effect A Siddig, A Ragano, HZ Jahromi, A Hines Proceedings of the 11th ACM Workshop on Immersive Mixed and Virtual …, 2019 | 9 | 2019 |
A comparison of deep learning mos predictors for speech synthesis quality A Ragano, E Benetos, M Chinen, HB Martinez, CKA Reddy, J Skoglund, ... 2023 34th Irish Signals and Systems Conference (ISSC), 1-6, 2023 | 5 | 2023 |
Development of a Speech Quality Database Under Uncontrolled Conditions A Ragano, E Benetos, A Hines Proc. Interspeech 2020, 4616-4620, 2020 | 4 | 2020 |
Audio Impairment Recognition using a Correlation-Based Feature Representation A Ragano, E Benetos, A Hines 2020 Twelfth International Conference on Quality of Multimedia Experience …, 2020 | 4 | 2020 |
Automatic Quality Assessment of Digitized and Restored Sound Archives A Ragano, E Benetos, A Hines Journal of the Audio Engineering Society 70 (4), 252-270, 2022 | 3 | 2022 |
Measuring national mood with music: using machine learning to construct a measure of national valence from audio data E Benetos, A Ragano, D Sgroi, A Tuckwell Behavior Research Methods 54 (6), 3085-3092, 2022 | 2 | 2022 |
Improving Phoneme Recognition with Augmented Autoregressive Predictive Coding A Ullah, A Ragano, A Hines 2023 34th Irish Signals and Systems Conference (ISSC), 1-6, 2023 | 1 | 2023 |
Audio quality assessment of vinyl music collections using self-supervised learning A Ragano, E Benetos, A Hines ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
AQP: an open modular Python platform for objective speech and audio quality metrics J Geraghty, J Li, A Ragano, A Hines Proceedings of the 13th ACM Multimedia Systems Conference, 191-196, 2022 | 1 | 2022 |
Measuring national happiness with music E Benetos, A Ragano, D Sgroi, A Tuckwell University of Warwick. Department of Economics, 2021 | 1 | 2021 |
Audio Inpainting based on Self-similarity for Sound Source Separation Applications D Barry, A Ragano, A Hines 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020 | 1 | 2020 |
Exploring a Perceptually-Weighted DNN-based Fusion Model for Speech Separation. A Ragano, A Hines AICS, 21-32, 2018 | 1 | 2018 |
NOMAD: Unsupervised Learning of Perceptual Embeddings For Speech Enhancement and Non-Matching Reference Audio Quality Assessment A Ragano, J Skoglund, A Hines ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Dialogue Understandability: Why are we streaming movies with subtitles? H Becerra, A Ragano, D Debnath, A Ullah, CR Lucas, M Walsh, A Hines arXiv preprint arXiv:2403.15336, 2024 | | 2024 |
Reduce, Reuse, Recycle: Is Perturbed Data better than Other Language augmentation for Low Resource Self-Supervised Speech Models A Ullah, A Ragano, A Hines arXiv preprint arXiv:2309.12763, 2023 | | 2023 |