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2020 – today
- 2024
[j18]Muhammad Shahid Anwar
, Ahyoung Choi, Sadique Ahmad, Khursheed Aurangzeb, Asif Ali Laghari, Thippa Reddy Gadekallu, Andrew Hines:
A Moving Metaverse: QoE challenges and standards requirements for immersive media consumption in autonomous vehicles. Appl. Soft Comput. 159: 111577 (2024)- [c58]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 - [c57]Adrielle Nazar Moraes, Eoghan Hynes, Ronan Flynn, Andrew Hines, Niall Murray:
Impact of Auditory and Audiovisual Distractors on Task Performance in a VR-based Auditory Attention Task. ISMAR 2024: 1137-1146 - [c56]Michael Gringo Angelo Bayona, Andrew Hines, Elaine Uí Dhonnchadha:
Listenability Assessment for Language Learning Through the Quality of Experience Lens. QoMEX 2024: 254-257 - [c55]Helard Becerra Martinez, Katryna Cisek, Alejandro García-Rudolph, John D. Kelleher, Andrew Hines:
Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke. xAI (4) 2024: 24-41 - [i21]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) - [i20]Alessandro Ragano, Jan Skoglund, Andrew Hines:
SCOREQ: Speech Quality Assessment with Contrastive Regression. CoRR abs/2410.06675 (2024) - 2023
- [j17]Alcardo Alex Barakabitze, Is-Haka Mkwawa, Andrew Hines, Ray Walshe:
QoE-Aware Dynamic Resource Management in Future Softwarized and Virtualized Networks. IEEE Access 11: 93310-93330 (2023) - [j16]Davoud Shariat Panah, Andrew Hines, Susan McKeever:
Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models. IEEE Access 11: 137401-137413 (2023) - [j15]Davoud Shariat Panah, Andrew Hines, Susan McKeever:
Exploring the impact of noise and degradations on heart sound classification models. Biomed. Signal Process. Control. 85: 104932 (2023) - [c54]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Learning Music Representations with wav2vec 2.0. AICS 2023: 1-6 - [c53]Davoud Shariat Panah, Andrew Hines, Susan McKeever:
Exploring Wav2vec 2.0 Model for Heart Murmur Detection. EUSIPCO 2023: 1010-1014 - [c52]Pheobe Wenyi Sun, Flavia H. Santos, Andrew Hines:
Browser-Based Game Design for Cognitive Effort Aware Quality of Experience Evaluation. GALA 2023: 457-463 - [c51]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Audio Quality Assessment of Vinyl Music Collections Using Self-Supervised Learning. ICASSP 2023: 1-5 - [c50]Adrielle Nazar Moraes, Ronan Flynn, Andrew Hines, Niall Murray:
A Comparison of Gender Differences and Performance Metrics in a VR-Based Auditory Selective Task. QoMEX 2023: 276-281 - [c49]Labhaoise NíFhaoláin, Andrew Hines, Vivek Nallur:
Statutory Professions in AI Governance and Their Consequences for Explainable AI. xAI (1) 2023: 85-96 - [i19]Labhaoise NíFhaoláin, Andrew Hines, Vivek Nallur:
Statutory Professions in AI governance and their consequences for explainable AI. CoRR abs/2306.08959 (2023) - [i18]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) - [i17]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
- [j14]Davoud Shariat Panah, Andrew Hines, Joseph A. McKeever, Susan McKeever:
An audio processing pipeline for acquiring diagnostic quality heart sounds via mobile phone. Comput. Biol. Medicine 145: 105415 (2022) - [j13]Vaibhav Bajpai, Oliver Hohlfeld, Jon Crowcroft, Srinivasan Keshav, Henning Schulzrinne, Jörg Ott, Simone Ferlin, Georg Carle, Andrew Hines, Alexander Raake:
Recommendations for designing hybrid conferences. Comput. Commun. Rev. 52(2): 63-69 (2022) - [j12]Wissam A. Jassim, Jan Skoglund, Michael Chinen, Andrew Hines:
Speech quality assessment with WARP-Q: From similarity to subsequence dynamic time warp cost. IET Signal Process. 16(9): 1050-1070 (2022) - [c48]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 - [c47]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 - [c46]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 - [c45]Helard Becerra Martinez, Andrew Hines, Mylène C. Q. Farias:
See hear now: is audio-visual QoE now just a fusion of audio and video metrics? QoMEX 2022: 1-4 - [i16]Arslan Ahmad, Atif Bin Mansoor, Alcardo Alex Barakabitze, Andrew Hines, Luigi Atzori, Ray Walshe:
Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study. CoRR abs/2202.02454 (2022) - [i15]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) - [i14]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Learning Music Representations with wav2vec 2.0. CoRR abs/2210.15310 (2022) - [i13]Davoud Shariat Panah, Andrew Hines, Susan McKeever:
Exploring the Impact of Noise and Degradations on Heart Sound Classification Models. CoRR abs/2211.07445 (2022) - 2021
- [j11]Adrielle Nazar Moraes, Ronan Flynn, Andrew Hines, Niall Murray:
The Role of Physiological Responses in a VR-Based Sound Localization Task. IEEE Access 9: 122082-122091 (2021) - [j10]Arslan Ahmad, Atif Bin Mansoor, Alcardo Alex Barakabitze, Andrew Hines, Luigi Atzori, Ray Walshe:
Supervised-learning-Based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study. IEEE Commun. Mag. 59(11): 88-94 (2021) - [j9]Hamed Z. Jahromi, Declan T. Delaney, Andrew Hines:
A Sign of Things to Come: Predicting the Perception of Above-the-Fold Time in Web Browsing. Future Internet 13(2): 50 (2021) - [c44]Wissam A. Jassim, Jan Skoglund, Michael Chinen, Andrew Hines:
Warp-Q: Quality Prediction for Generative Neural Speech Codecs. ICASSP 2021: 401-405 - [c43]Helard Becerra Martinez, André H. M. da Costa, Bruna Azambuja, Andrew Hines, Mylène C. Q. Farias:
Exploring the boundaries of an AE-based quality model: a performance analysis via synthetic content. IQSP 2021 - [c42]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations. QoMEX 2021: 103-108 - [i12]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations. CoRR abs/2108.08745 (2021) - [i11]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
- [j8]Hamed Z. Jahromi, Declan T. Delaney, Andrew Hines:
Beyond First Impressions: Estimating Quality of Experience for Interactive Web Applications. IEEE Access 8: 47741-47755 (2020) - [j7]Helard Becerra Martinez, Andrew Hines, Mylène C. Q. Farias:
UnB-AV: An Audio-Visual Database for Multimedia Quality Research. IEEE Access 8: 56641-56649 (2020) - [j6]Alcardo Alex Barakabitze, Arslan Ahmad, Rashid Mijumbi, Andrew Hines:
5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges. Comput. Networks 167 (2020) - [c41]Labhaoise NíFhaoláin, Andrew Hines, Vivek Nallur:
Assessing the Appetite for Trustworthiness and the Regulation of Artificial Intelligence in Europe. AICS 2020: 133-144 - [c40]Davoud Shariat Panah, Andrew Hines, Susan McKeever:
Exploring Composite Dataset Biases for Heart Sound Classification. AICS 2020: 145-156 - [c39]Alcardo Alex Barakabitze, Madhusanka Liyanage, Andrew Hines:
QoESoft: QoE Management Architecture for Softwarized 5G Networks. ICC Workshops 2020: 1-6 - [c38]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Development of a Speech Quality Database Under Uncontrolled Conditions. INTERSPEECH 2020: 4616-4620 - [c37]Helard Becerra Martinez, Mylène C. Q. Farias, Andrew Hines:
Analyzing the performance of autoencoder-based objective quality metrics on audio-visual content. IQSP 2020 - [c36]Dan Barry, Alessandro Ragano, Andrew Hines:
Audio Inpainting based on Self-similarity for Sound Source Separation Applications. MMSP 2020: 1-6 - [c35]Hamed Z. Jahromi, Declan T. Delaney, Andrew Hines:
How Crisp is the Crease? A Subjective Study on Web Browsing Perception of Above-The-Fold. NetSoft 2020: 43-50 - [c34]Michael Chinen, Felicia S. C. Lim, Jan Skoglund, Nikita Gureev, Feargus O'Gorman, Andrew Hines:
ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric. QoMEX 2020: 1-6 - [c33]Hamed Z. Jahromi, Ivan Bartolec, Edwin Gamboa, Andrew Hines, Raimund Schatz:
You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control. QoMEX 2020: 1-6 - [c32]Wissam A. Jassim, Jan Skoglund, Michael Chinen, Andrew Hines:
Speech Quality Factors for Traditional and Neural-Based Low Bit Rate Vocoders. QoMEX 2020: 1-6 - [c31]Helard Becerra Martinez, Andrew Hines, Mylène C. Q. Farias:
How Deep is Your Encoder: An Analysis of Features Descriptors for an Autoencoder-Based Audio-Visual Quality Metric. QoMEX 2020: 1-6 - [c30]Adrielle Nazar Moraes, Ronan Flynn, Andrew Hines, Niall Murray:
Evaluating the User in a Sound Localisation Task in a Virtual Reality Application. QoMEX 2020: 1-6 - [c29]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Audio Impairment Recognition using a Correlation-Based Feature Representation. QoMEX 2020: 1-6 - [i10]Helard Becerra Martinez, Mylène C. Q. Farias, Andrew Hines:
NAViDAd: A No-Reference Audio-Visual Quality Metric Based on a Deep Autoencoder. CoRR abs/2001.11406 (2020) - [i9]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Audio Impairment Recognition Using a Correlation-Based Feature Representation. CoRR abs/2003.09889 (2020) - [i8]Hamed Z. Jahromi, Ivan Bartolec, Edwin Gamboa, Andrew Hines, Raimund Schatz:
You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control. CoRR abs/2003.10914 (2020) - [i7]Helard Becerra Martinez, Andrew Hines, Mylène C. Q. Farias:
How deep is your encoder: an analysis of features descriptors for an autoencoder-based audio-visual quality metric. CoRR abs/2003.11100 (2020) - [i6]Wissam A. Jassim, Jan Skoglund, Michael Chinen, Andrew Hines:
Speech Quality Factors for Traditional and Neural-Based Low Bit Rate Vocoders. CoRR abs/2003.11882 (2020) - [i5]Hamed Z. Jahromi, Declan T. Delaney, Andrew Hines:
How Crisp is the Crease? A Subjective Study on Web Browsing Perception of Above-The-Fold. CoRR abs/2004.04208 (2020) - [i4]Michael Chinen, Felicia S. C. Lim, Jan Skoglund, Nikita Gureev, Feargus O'Gorman, Andrew Hines:
ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric. CoRR abs/2004.09584 (2020) - [i3]Labhaoise Ni Fhaolain, Andrew Hines:
Could regulating the creators deliver trustworthy AI? CoRR abs/2006.14750 (2020) - [i2]Andrew Perkis, Christian Timmerer, Sabina Barakovic, Jasmina Barakovic Husic, Søren Bech, Sebastian Bosse, Jean Botev, Kjell Brunnström, Luís Alberto da Silva Cruz, Katrien De Moor, Andrea de Polo Saibanti, Wouter Durnez, Sebastian Egger-Lampl, Ulrich Engelke, Tiago H. Falk, Asim Hameed, Andrew Hines, Tanja Kojic, Dragan Kukolj, Eirini Liotou, Dragorad Milovanovic, Sebastian Möller, Niall Murray, Babak Naderi, Manuela Pereira, Stuart W. Perry, António M. G. Pinheiro, Andres Pinilla Palacios, Alexander Raake, Sarvesh Rajesh Agrawal, Ulrich Reiter, Rafael Rodrigues, Raimund Schatz, Peter Schelkens, Steven Schmidt, Saeed Shafiee Sabet, Ashutosh Singla, Lea Skorin-Kapov, Mirko Suznjevic, Stefan Uhrig, Sara Vlahovic, Jan-Niklas Voigt-Antons, Saman Zadtootaghaj:
QUALINET White Paper on Definitions of Immersive Media Experience (IMEx). CoRR abs/2007.07032 (2020)
2010 – 2019
- 2019
- [c28]Abubakr Siddig, Pheobe Wenyi Sun, Matthew Parker, Andrew Hines:
Perception Deception: Audio-Visual Mismatch in Virtual Reality Using The McGurk Effect. AICS 2019: 176-187 - [c27]Abubakr Siddig, Andrew Hines:
A Psychologist Chatbot Developing Experience. AICS 2019: 200-211 - [c26]Helard Becerra Martinez, Mylène C. Q. Farias, Andrew Hines:
NAViDAd: A No-Reference Audio-Visual Quality Metric Based on a Deep Autoencoder. EUSIPCO 2019: 1-5 - [c25]Hamed Z. Jahromi, Declan T. Delaney, Andrew Hines:
Quantifying the Influence of Browser, OS and Network Delay on Time Instant Metric Measurements for a Web Mapping Application. ICCT 2019: 1580-1584 - [c24]Helard Becerra Martinez, Mylène C. Q. Farias, Andrew Hines:
A No-Reference Autoencoder Video Quality Metric. ICIP 2019: 1755-1759 - [c23]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 - [c22]Alessandro Ragano, Emmanouil Benetos, Andrew Hines:
Adapting the Quality of Experience Framework for Audio Archive Evaluation. QoMEX 2019: 1-3 - [i1]Alcardo Alex Barakabitze, Arslan Ahmad, Rashid Mijumbi, Andrew Hines:
5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges. CoRR abs/1912.02802 (2019) - 2018
- [j5]Ailbhe Cullen, Andrew Hines, Naomi Harte:
Perception and prediction of speaker appeal - A single speaker study. Comput. Speech Lang. 52: 23-40 (2018) - [c21]Alessandro Ragano, Andrew Hines:
Exploring a Perceptually-Weighted DNN-based Fusion Model for Speech Separation. AICS 2018: 21-32 - [c20]Rahul Jaiswal, Andrew Hines:
The Sound of Silence: How Traditional and Deep Learning Based Voice Activity Detection Influences Speech Quality Monitoring. AICS 2018: 174-185 - [c19]Helard Becerra Martinez, Mylène C. Q. Farias, Andrew Hines:
Perceived quality of audio-visual stimuli containing streaming audio degradations. EUSIPCO 2018: 2529-2533 - [c18]Hamed Z. Jahromi, Andrew Hines, Declan T. Delaney:
Towards Application-Aware Networking: ML-Based End-to-End Application KPI/QoE Metrics Characterization in SDN. ICUFN 2018: 126-131 - [c17]Miroslaw Narbutt, Andrew Allen, Jan Skoglund, Michael Chinen, Andrew Hines:
AMBIQUAL - a full reference objective quality metric for ambisonic spatial audio. QoMEX 2018: 1-6 - 2017
- [j4]Colm Sloan, Naomi Harte, Damien Kelly, Anil C. Kokaram, Andrew Hines:
Objective Assessment of Perceptual Audio Quality Using ViSQOLAudio. IEEE Trans. Broadcast. 63(4): 693-705 (2017) - [c16]Andrew Hines, John D. Kelleher:
A framework for post-stroke quality of life prediction using structured prediction. QoMEX 2017: 1-6 - [c15]Miroslaw Narbutt, Seán O'Leary, Andrew Allen, Jan Skoglund, Andrew Hines:
Streaming VR for immersion: Quality aspects of compressed spatial audio. VSMM 2017: 1-6 - 2016
- [c14]Colm Sloan, Naomi Harte, Damien Kelly, Anil C. Kokaram, Andrew Hines:
Bitrate classification of twice-encoded audio using objective quality features. QoMEX 2016: 1-6 - 2015
- [j3]Andrew Hines, Jan Skoglund, Anil C. Kokaram, Naomi Harte:
ViSQOL: an objective speech quality model. EURASIP J. Audio Speech Music. Process. 2015: 13 (2015) - [c13]Andrew Hines, Eoin Gillen, Naomi Harte:
Measuring and monitoring speech quality for voice over IP with POLQA, viSQOL and p.563. INTERSPEECH 2015: 438-442 - [c12]Naomi Harte, Eoin Gillen, Andrew Hines:
TCD-VoIP, a research database of degraded speech for assessing quality in VoIP applications. QoMEX 2015: 1-6 - 2014
- [c11]Andrew Hines, Paul Kendrick, Adriaan Barri, Manish Narwaria, Judith A. Redi:
Robustness and prediction accuracy of Machine Learning for objective visual quality assessment. EUSIPCO 2014: 2130-2134 - [c10]Ailbhe Cullen, Andrew Hines, Naomi Harte:
Building a Database of Political Speech: Does Culture Matter in Charisma Annotations? AVEC@MM 2014: 27-31 - [c9]Andrew Hines, Eoin Gillen, Damien Kelly, Jan Skoglund, Anil C. Kokaram, Naomi Harte:
Perceived Audio Quality for Streaming Stereo Music. ACM Multimedia 2014: 1173-1176 - 2013
- [c8]Andrew Hines, Jan Skoglund, Anil C. Kokaram, Naomi Harte:
Robustness of speech quality metrics to background noise and network degradations: Comparing ViSQOL, PESQ and POLQA. ICASSP 2013: 3697-3701 - [c7]Andrew Hines, Jan Skoglund, Anil C. Kokaram, Naomi Harte:
Monitoring the effects of temporal clipping on voIP speech quality. INTERSPEECH 2013: 1188-1192 - [c6]Andrew Hines, Peter Pocta, Hugh Melvin:
Detailed comparative analysis of PESQ and VISQOL behaviour in the context of playout delay adjustments introduced by VOIP jitter buffer algorithms. QoMEX 2013: 18-23 - 2012
- [j2]Andrew Hines, Naomi Harte:
Speech intelligibility prediction using a Neurogram Similarity Index Measure. Speech Commun. 54(2): 306-320 (2012) - [c5]Andrew Hines, Naomi Harte:
Improved Speech Intelligibility with a Chimaera Hearing Aid Algorithm. INTERSPEECH 2012: 1468-1471 - [c4]Andrew Hines, Jan Skoglund, Anil C. Kokaram, Naomi Harte:
ViSQOL: The Virtual Speech Quality Objective Listener. IWAENC 2012 - 2011
- [c3]Andrew Hines, Naomi Harte:
Simulated performance intensity functions. EMBC 2011: 7139-7142 - 2010
- [j1]Andrew Hines, Naomi Harte:
Speech intelligibility from image processing. Speech Commun. 52(9): 736-752 (2010) - [c2]Andrew Hines, Naomi Harte:
Evaluating sensorineural hearing loss with an auditory nerve model using a mean structural similarity measure. EUSIPCO 2010: 1924-1928
2000 – 2009
- 2009
- [c1]Andrew Hines, Naomi Harte:
Error metrics for impaired auditory nerve responses of different phoneme groups. INTERSPEECH 2009: 1119-1122
Coauthor Index
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