Error metrics for impaired auditory nerve responses of different phoneme groups. - Andrew Hines; Naomi Harte (INTERSPEECH, 2009)

Evaluating sensorineural hearing loss with an auditory nerve model using a mean structural similarity measure. - Andrew Hines; Naomi Harte (EUSIPCO, 2010)

Speech intelligibility from image processing. - Andrew Hines; Naomi Harte (Speech Commun., 2010)

Simulated performance intensity functions. - Andrew Hines; Naomi Harte (EMBC, 2011)

Improved Speech Intelligibility with a Chimaera Hearing Aid Algorithm. - Andrew Hines; Naomi Harte (INTERSPEECH, 2012)

ViSQOL: The Virtual Speech Quality Objective Listener. - Andrew Hines; Jan Skoglund; Anil C. Kokaram; Naomi Harte (IWAENC, 2012)

Speech intelligibility prediction using a Neurogram Similarity Index Measure. - Andrew Hines; Naomi Harte (Speech Commun., 2012)

Robustness of speech quality metrics to background noise and network degradations: Comparing ViSQOL, PESQ and POLQA. - Andrew Hines; Jan Skoglund; Anil C. Kokaram; Naomi Harte (ICASSP, 2013)

Monitoring the effects of temporal clipping on voIP speech quality. - Andrew Hines; Jan Skoglund; Anil C. Kokaram; Naomi Harte (INTERSPEECH, 2013)

Detailed comparative analysis of PESQ and VISQOL behaviour in the context of playout delay adjustments introduced by VOIP jitter buffer algorithms. - Andrew Hines; Peter Pocta; Hugh Melvin (QoMEX, 2013)

Robustness and prediction accuracy of Machine Learning for objective visual quality assessment. - Andrew Hines; Paul Kendrick; Adriaan Barri; Manish Narwaria; Judith A. Redi (EUSIPCO, 2014)

Building a Database of Political Speech: Does Culture Matter in Charisma Annotations? - Ailbhe Cullen; Andrew Hines; Naomi Harte (AVEC@MM, 2014)

Perceived Audio Quality for Streaming Stereo Music. - Andrew Hines; Eoin Gillen; Damien Kelly; Jan Skoglund; Anil C. Kokaram; Naomi Harte (ACM Multimedia, 2014)

Measuring and monitoring speech quality for voice over IP with POLQA, viSQOL and p.563. - Andrew Hines; Eoin Gillen; Naomi Harte (INTERSPEECH, 2015)

TCD-VoIP, a research database of degraded speech for assessing quality in VoIP applications. - Naomi Harte; Eoin Gillen; Andrew Hines (QoMEX, 2015)

ViSQOL: an objective speech quality model. - Andrew Hines; Jan Skoglund; Anil C. Kokaram; Naomi Harte (EURASIP J. Audio Speech Music. Process., 2015)

Bitrate classification of twice-encoded audio using objective quality features. - Colm Sloan; Naomi Harte; Damien Kelly; Anil C. Kokaram; Andrew Hines (QoMEX, 2016)

A framework for post-stroke quality of life prediction using structured prediction. - Andrew Hines; John D. Kelleher (QoMEX, 2017)

Streaming VR for immersion: Quality aspects of compressed spatial audio. - Miroslaw Narbutt; Seán O'Leary; Andrew Allen; Jan Skoglund; Andrew Hines (VSMM, 2017)

Objective Assessment of Perceptual Audio Quality Using ViSQOLAudio. - Colm Sloan; Naomi Harte; Damien Kelly; Anil C. Kokaram; Andrew Hines (IEEE Trans. Broadcast., 2017)

The Sound of Silence: How Traditional and Deep Learning Based Voice Activity Detection Influences Speech Quality Monitoring. - Rahul Jaiswal; Andrew Hines (AICS, 2018)

Exploring a Perceptually-Weighted DNN-based Fusion Model for Speech Separation. - Alessandro Ragano; Andrew Hines (AICS, 2018)

Perceived quality of audio-visual stimuli containing streaming audio degradations. - Helard Becerra Martinez; Mylène C. Q. Farias; Andrew Hines (EUSIPCO, 2018)

Towards Application-Aware Networking: ML-Based End-to-End Application KPI/QoE Metrics Characterization in SDN. - Hamed Z. Jahromi; Andrew Hines; Declan T. Delaney (ICUFN, 2018)

AMBIQUAL - a full reference objective quality metric for ambisonic spatial audio. - Miroslaw Narbutt; Andrew Allen; Jan Skoglund; Michael Chinen; Andrew Hines (QoMEX, 2018)

Perception and prediction of speaker appeal - A single speaker study. - Ailbhe Cullen; Andrew Hines; Naomi Harte (Comput. Speech Lang., 2018)

A Psychologist Chatbot Developing Experience. - Abubakr Siddig; Andrew Hines (AICS, 2019)

Perception Deception: Audio-Visual Mismatch in Virtual Reality Using The McGurk Effect. - Abubakr Siddig; Pheobe Wenyi Sun; Matthew Parker; Andrew Hines (AICS, 2019)

NAViDAd: A No-Reference Audio-Visual Quality Metric Based on a Deep Autoencoder. - Helard Becerra Martinez; Mylène C. Q. Farias; Andrew Hines (EUSIPCO, 2019)

Quantifying the Influence of Browser, OS and Network Delay on Time Instant Metric Measurements for a Web Mapping Application. - Hamed Z. Jahromi; Declan T. Delaney; Andrew Hines (ICCT, 2019)

A No-Reference Autoencoder Video Quality Metric. - Helard Becerra Martinez; Mylène C. Q. Farias; Andrew Hines (ICIP, 2019)

Fusion confusion: exploring ambisonic spatial localisation for audio-visual immersion using the McGurk effect. - Abubakr Siddig; Alessandro Ragano; Hamed Z. Jahromi; Andrew Hines (MMVE@MMSys, 2019)

Adapting the Quality of Experience Framework for Audio Archive Evaluation. - Alessandro Ragano; Emmanouil Benetos; Andrew Hines (QoMEX, 2019)

Assessing the Appetite for Trustworthiness and the Regulation of Artificial Intelligence in Europe. - Labhaoise NíFhaoláin; Andrew Hines; Vivek Nallur (AICS, 2020)

Exploring Composite Dataset Biases for Heart Sound Classification. - Davoud Shariat Panah; Andrew Hines; Susan McKeever (AICS, 2020)

QoESoft: QoE Management Architecture for Softwarized 5G Networks. - Alcardo Alex Barakabitze; Madhusanka Liyanage; Andrew Hines (ICC Workshops, 2020)

Development of a Speech Quality Database Under Uncontrolled Conditions. - Alessandro Ragano; Emmanouil Benetos; Andrew Hines (INTERSPEECH, 2020)

Analyzing the performance of autoencoder-based objective quality metrics on audio-visual content. - Helard Becerra Martinez; Mylène C. Q. Farias; Andrew Hines (IQSP, 2020)

Audio Inpainting based on Self-similarity for Sound Source Separation Applications. - Dan Barry; Alessandro Ragano; Andrew Hines (MMSP, 2020)

How Crisp is the Crease? A Subjective Study on Web Browsing Perception of Above-The-Fold. - Hamed Z. Jahromi; Declan T. Delaney; Andrew Hines (NetSoft, 2020)

ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric. - Michael Chinen; Felicia S. C. Lim; Jan Skoglund; Nikita Gureev; Feargus O'Gorman; Andrew Hines (QoMEX, 2020)

You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control. - Hamed Z. Jahromi; Ivan Bartolec; Edwin Gamboa; Andrew Hines; Raimund Schatz (QoMEX, 2020)

Speech Quality Factors for Traditional and Neural-Based Low Bit Rate Vocoders. - Wissam A. Jassim; Jan Skoglund; Michael Chinen; Andrew Hines (QoMEX, 2020)

How Deep is Your Encoder: An Analysis of Features Descriptors for an Autoencoder-Based Audio-Visual Quality Metric. - Helard Becerra Martinez; Andrew Hines; Mylène C. Q. Farias (QoMEX, 2020)

Evaluating the User in a Sound Localisation Task in a Virtual Reality Application. - Adrielle Nazar Moraes; Ronan Flynn; Andrew Hines; Niall Murray (QoMEX, 2020)

Audio Impairment Recognition using a Correlation-Based Feature Representation. - Alessandro Ragano; Emmanouil Benetos; Andrew Hines (QoMEX, 2020)

Beyond First Impressions: Estimating Quality of Experience for Interactive Web Applications. - Hamed Z. Jahromi; Declan T. Delaney; Andrew Hines (IEEE Access, 2020)

UnB-AV: An Audio-Visual Database for Multimedia Quality Research. - Helard Becerra Martinez; Andrew Hines; Mylène C. Q. Farias (IEEE Access, 2020)

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges. - Alcardo Alex Barakabitze; Arslan Ahmad; Rashid Mijumbi; Andrew Hines (Comput. Networks, 2020)

Could regulating the creators deliver trustworthy AI? - Labhaoise Ni Fhaolain; Andrew Hines (CoRR, 2020)

QUALINET White Paper on Definitions of Immersive Media Experience (IMEx). - 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; et al. (CoRR, 2020)

Warp-Q: Quality Prediction for Generative Neural Speech Codecs. - Wissam A. Jassim; Jan Skoglund; Michael Chinen; Andrew Hines (ICASSP, 2021)

Exploring the boundaries of an AE-based quality model: a performance analysis via synthetic content. - Helard Becerra Martinez; André H. M. da Costa; Bruna Azambuja; Andrew Hines; Mylène C. Q. Farias (IQSP, 2021)

More for Less: Non-Intrusive Speech Quality Assessment with Limited Annotations. - Alessandro Ragano; Emmanouil Benetos; Andrew Hines (QoMEX, 2021)

The Role of Physiological Responses in a VR-Based Sound Localization Task. - Adrielle Nazar Moraes; Ronan Flynn; Andrew Hines; Niall Murray (IEEE Access, 2021)

Supervised-learning-Based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study. - Arslan Ahmad; Atif Bin Mansoor; Alcardo Alex Barakabitze; Andrew Hines; Luigi Atzori; Ray Walshe (IEEE Commun. Mag., 2021)

A Sign of Things to Come: Predicting the Perception of Above-the-Fold Time in Web Browsing. - Hamed Z. Jahromi; Declan T. Delaney; Andrew Hines (Future Internet, 2021)

Using Rater and System Metadata to Explain Variance in the VoiceMOS Challenge 2022 Dataset. - Michael Chinen; Jan Skoglund; Chandan K. A. Reddy; Alessandro Ragano; Andrew Hines (INTERSPEECH, 2022)

Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction. - Helard Becerra Martinez; Alessandro Ragano; Andrew Hines (INTERSPEECH, 2022)

AQP: an open modular Python platform for objective speech and audio quality metrics. - Jack Geraghty; Jiazheng Li 002; Alessandro Ragano; Andrew Hines (MMSys, 2022)

See hear now: is audio-visual QoE now just a fusion of audio and video metrics? - Helard Becerra Martinez; Andrew Hines; Mylène C. Q. Farias (QoMEX, 2022)

An audio processing pipeline for acquiring diagnostic quality heart sounds via mobile phone. - Davoud Shariat Panah; Andrew Hines; Joseph A. McKeever; Susan McKeever (Comput. Biol. Medicine, 2022)

Recommendations for designing hybrid conferences. - Vaibhav Bajpai; Oliver Hohlfeld; Jon Crowcroft; Srinivasan Keshav; Henning Schulzrinne; Jörg Ott; Simone Ferlin; Georg Carle; Andrew Hines; Alexander Raake (Comput. Commun. Rev., 2022)

Speech quality assessment with WARP-Q: From similarity to subsequence dynamic time warp cost. - Wissam A. Jassim; Jan Skoglund; Michael Chinen; Andrew Hines (IET Signal Process., 2022)

Learning Music Representations with wav2vec 2.0. - Alessandro Ragano; Emmanouil Benetos; Andrew Hines (AICS, 2023)

Exploring Wav2vec 2.0 Model for Heart Murmur Detection. - Davoud Shariat Panah; Andrew Hines; Susan McKeever (EUSIPCO, 2023)

Browser-Based Game Design for Cognitive Effort Aware Quality of Experience Evaluation. - Pheobe Wenyi Sun; Flavia H. Santos; Andrew Hines (GALA, 2023)

Audio Quality Assessment of Vinyl Music Collections Using Self-Supervised Learning. - Alessandro Ragano; Emmanouil Benetos; Andrew Hines (ICASSP, 2023)

A Comparison of Gender Differences and Performance Metrics in a VR-Based Auditory Selective Task. - Adrielle Nazar Moraes; Ronan Flynn; Andrew Hines; Niall Murray (QoMEX, 2023)

Statutory Professions in AI Governance and Their Consequences for Explainable AI. - Labhaoise NíFhaoláin; Andrew Hines; Vivek Nallur (xAI (1), 2023)

QoE-Aware Dynamic Resource Management in Future Softwarized and Virtualized Networks. - Alcardo Alex Barakabitze; Is-Haka Mkwawa; Andrew Hines; Ray Walshe (IEEE Access, 2023)

Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models. - Davoud Shariat Panah; Andrew Hines; Susan McKeever (IEEE Access, 2023)

Exploring the impact of noise and degradations on heart sound classification models. - Davoud Shariat Panah; Andrew Hines; Susan McKeever (Biomed. Signal Process. Control., 2023)

NOMAD: Unsupervised Learning of Perceptual Embeddings For Speech Enhancement and Non-Matching Reference Audio Quality Assessment. - Alessandro Ragano; Jan Skoglund; Andrew Hines (ICASSP, 2024)

Reduce, Reuse, Recycle: Is Perturbed Data Better than Other Language Augmentation for Low Resource Self-Supervised Speech Models. - Asad Ullah; Alessandro Ragano; Andrew Hines (INTERSPEECH, 2024)

Impact of Auditory and Audiovisual Distractors on Task Performance in a VR-based Auditory Attention Task. - Adrielle Nazar Moraes; Eoghan Hynes; Ronan Flynn; Andrew Hines; Niall Murray (ISMAR, 2024)

SCOREQ: Speech Quality Assessment with Contrastive Regression. - Alessandro Ragano; Jan Skoglund; Andrew Hines (NeurIPS, 2024)

Listenability Assessment for Language Learning Through the Quality of Experience Lens. - Michael Gringo Angelo Bayona; Andrew Hines; Elaine Uí Dhonnchadha (QoMEX, 2024)

Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke. - Helard Becerra Martinez; Katryna Cisek; Alejandro García-Rudolph; John D. Kelleher; Andrew Hines (xAI (4), 2024)

A Moving Metaverse: QoE challenges and standards requirements for immersive media consumption in autonomous vehicles. - Muhammad Shahid Anwar; Ahyoung Choi; Sadique Ahmad; Khursheed Aurangzeb; Asif Ali Laghari; Thippa Reddy Gadekallu; Andrew Hines (Appl. Soft Comput., 2024)

Dialogue Understandability: Why are we streaming movies with subtitles? - Helard Becerra Martinez; Alessandro Ragano; Diptasree Debnath; Asad Ullah; Crisron Rudolf Lucas; Martin Walsh; Andrew Hines (CoRR, 2024)

Beyond Correlation: Evaluating Multimedia Quality Models with the Constrained Concordance Index. - Alessandro Ragano; Helard Becerra Martinez; Andrew Hines (CoRR, 2024)

QoEMultiSDN: Management of Multimedia Services Using MPTCP/SR in Softwarized and Virtualized Networks. - Alcardo Alex Barakabitze; Is-Haka Mkwawa; Andrew Hines; Lingfen Sun; Emmanuel C. Ifeachor (IEEE Access, 2025)

Respiratory Inhaler Sound Event Classification Using Self-Supervised Learning. - Davoud Shariat Panah; Alessandro N. Franciosi; Cormac McCarthy; Andrew Hines (CoRR, 2025)

Binamix - A Python Library for Generating Binaural Audio Datasets. - Dan Barry; Davoud Shariat Panah; Alessandro Ragano; Jan Skoglund; Andrew Hines (CoRR, 2025)

BINAQUAL: A Full-Reference Objective Localization Similarity Metric for Binaural Audio. - Davoud Shariat Panah; Dan Barry; Alessandro Ragano; Jan Skoglund; Andrew Hines (CoRR, 2025)