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Alessandro Ragano
Alessandro Ragano
School of Computer Science, Insight, University College Dublin
Bestätigte E-Mail-Adresse bei ucd.ie
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Zitiert von
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Jahr
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
172019
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
162022
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
132021
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
102022
Learning music representations with wav2vec 2.0
A Ragano, E Benetos, A Hines
2023 31st Irish Conference on Artificial Intelligence and Cognitive Science …, 2023
92023
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
92019
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
52023
Development of a Speech Quality Database Under Uncontrolled Conditions
A Ragano, E Benetos, A Hines
Proc. Interspeech 2020, 4616-4620, 2020
42020
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
42020
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
32022
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
22022
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
12023
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
12023
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
12022
Measuring national happiness with music
E Benetos, A Ragano, D Sgroi, A Tuckwell
University of Warwick. Department of Economics, 2021
12021
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
12020
Exploring a Perceptually-Weighted DNN-based Fusion Model for Speech Separation.
A Ragano, A Hines
AICS, 21-32, 2018
12018
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
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