Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation. - William Ravenscroft; Stefan Goetze; Thomas Hain (EUSIPCO, 2022)

Utterance Weighted Multi-Dilation Temporal Convolutional Networks for Monaural Speech Dereverberation. - William Ravenscroft; Stefan Goetze; Thomas Hain (IWAENC, 2022)

On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments. - William Ravenscroft; Stefan Goetze; Thomas Hain (ASRU, 2023)

On Data Sampling Strategies for Training Neural Network Speech Separation Models. - William Ravenscroft; Stefan Goetze; Thomas Hain (EUSIPCO, 2023)

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

Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation. - William Ravenscroft; Stefan Goetze; Thomas Hain (ICASSP, 2023)

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

Combining Conformer and Dual-Path-Transformer Networks for Single Channel Noisy Reverberant Speech Separation. - William Ravenscroft; Stefan Goetze; Thomas Hain (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)