MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data. - George Close; Thomas Hain; Stefan Goetze (EUSIPCO, 2022)

Non-intrusive Speech Intelligibility Metric Prediction for Hearing Impaired Individuals. - George Close; Samuel Hollands; Stefan Goetze; Thomas Hain (INTERSPEECH, 2022)

Perceive and Predict: Self-Supervised Speech Representation Based Loss Functions for Speech Enhancement. - George Close; William Ravenscroft; Thomas Hain; Stefan Goetze (ICASSP, 2023)

The Effect of Spoken Language on Speech Enhancement Using Self-Supervised Speech Representation Loss Functions. - George Close; Thomas Hain; Stefan Goetze (WASPAA, 2023)

Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations. - George Close; Thomas Hain; Stefan Goetze (CoRR, 2023)

Hallucination in Perceptual Metric-Driven Speech Enhancement Networks. - George Close; Thomas Hain; Stefan Goetze (EUSIPCO, 2024)

Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement. - Robert Sutherland; George Close; Thomas Hain; Stefan Goetze; Jon Barker (EUSIPCO, 2024)

Multi-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction for Speech Enhancement. - George Close; William Ravenscroft; Thomas Hain; Stefan Goetze (ICASSP, 2024)

Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users Using Intermediate ASR Features and Human Memory Models. - Rhiannon Mogridge; George Close; Robert Sutherland; Thomas Hain; Jon Barker; Stefan Goetze; Anton Ragni (ICASSP, 2024)

Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition. - William Ravenscroft; George Close; Stefan Goetze; Thomas Hain; Mohammad Soleymanpour; Anurag Chowdhury; Mark C. Fuhs (INTERSPEECH, 2024)

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification. - William Ravenscroft; George Close; Kit Bower-Morris; Jamie Stacey; Dmitry Sityaev; Kris Y. Hong (CoRR, 2025)