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ORCIDAlessandro Ragano
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2020 – today
- 2024
[c13]Alessandro Ragano, Jan Skoglund, Andrew Hines:
NOMAD: Unsupervised Learning of Perceptual Embeddings For Speech Enhancement and Non-Matching Reference Audio Quality Assessment. ICASSP 2024: 1011-1015- [i8]Helard Becerra Martinez, Alessandro Ragano, Diptasree Debnath, Asad Ullah, Crisron Rudolf Lucas, Martin Walsh, Andrew Hines:
Dialogue Understandability: Why are we streaming movies with subtitles? CoRR abs/2403.15336 (2024) - 2023
- [c12]Alessandro Ragano, Emmanouil Benetos, Andrew Hines
:
Learning Music Representations with wav2vec 2.0. AICS 2023: 1-6 - [c11]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Audio Quality Assessment of Vinyl Music Collections Using Self-Supervised Learning. ICASSP 2023: 1-5 - [i7]Asad Ullah, Alessandro Ragano, Andrew Hines:
Reduce, Reuse, Recycle: Is Perturbed Data better than Other Language augmentation for Low Resource Self-Supervised Speech Models. CoRR abs/2309.12763 (2023) - [i6]Alessandro Ragano, Jan Skoglund, Andrew Hines:
NOMAD: Unsupervised Learning of Perceptual Embeddings for Speech Enhancement and Non-matching Reference Audio Quality Assessment. CoRR abs/2309.16284 (2023) - 2022
- [c10]Helard Becerra Martinez, Alessandro Ragano, Andrew Hines:
Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction. INTERSPEECH 2022: 4088-4092 - [c9]Michael Chinen, Jan Skoglund, Chandan K. A. Reddy, Alessandro Ragano, Andrew Hines:
Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset. INTERSPEECH 2022: 4531-4535 - [c8]Jack Geraghty, Jiazheng Li, Alessandro Ragano, Andrew Hines:
AQP: an open modular Python platform for objective speech and audio quality metrics. MMSys 2022: 191-196 - [i5]Michael Chinen, Jan Skoglund, Chandan K. A. Reddy, Alessandro Ragano, Andrew Hines:
Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset. CoRR abs/2209.06358 (2022) - [i4]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Learning Music Representations with wav2vec 2.0. CoRR abs/2210.15310 (2022) - 2021
- [c7]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations. QoMEX 2021: 103-108 - [i3]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations. CoRR abs/2108.08745 (2021) - [i2]Jack Geraghty, Jiazheng Li, Alessandro Ragano, Andrew Hines:
AQP: An Open Modular Python Platform for Objective Speech and Audio Quality Metrics. CoRR abs/2110.13589 (2021) - 2020
- [c6]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Development of a Speech Quality Database Under Uncontrolled Conditions. INTERSPEECH 2020: 4616-4620 - [c5]Dan Barry, Alessandro Ragano, Andrew Hines:
Audio Inpainting based on Self-similarity for Sound Source Separation Applications. MMSP 2020: 1-6 - [c4]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Audio Impairment Recognition using a Correlation-Based Feature Representation. QoMEX 2020: 1-6 - [i1]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Audio Impairment Recognition Using a Correlation-Based Feature Representation. CoRR abs/2003.09889 (2020)
2010 – 2019
- 2019
- [c3]Abubakr Siddig, Alessandro Ragano, Hamed Z. Jahromi, Andrew Hines:
Fusion confusion: exploring ambisonic spatial localisation for audio-visual immersion using the McGurk effect. MMVE@MMSys 2019: 28-33 - [c2]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Adapting the Quality of Experience Framework for Audio Archive Evaluation. QoMEX 2019: 1-3 - 2018
- [c1]Alessandro Ragano, Andrew Hines:
Exploring a Perceptually-Weighted DNN-based Fusion Model for Speech Separation. AICS 2018: 21-32
Coauthor Index
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