Will Ravenscroft

Will Ravenscroft

Will Ravenscroft

Research Students

Publications

2024

George Close; William Ravenscroft; Thomas Hain; Stefan Goetze: MULTI-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction for Speech Enhancement. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Forthcoming. (Type: Proceedings Article | )
William Ravenscroft; Stefan Goetze; Thomas Hain: Combining Conformer and Dual-Path-Transformer Networks for Single Channel Noisy Reverberant Speech Separation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Forthcoming. (Type: Proceedings Article | )

2023

William Ravenscroft; Stefan Goetze; Thomas Hain: On Data Sampling Strategies for Training Neural Network Speech Separation Models. In: 31st European Signal Processing Conference (EUSIPCO), 2023. (Type: Proceedings Article | Links)
George Close; William Ravenscroft; Thomas Hain; Stefan Goetze: The University of Sheffield CHiME-7 UDASE Challenge Speech Enhancement System. 2023. (Type: Technical Report | Links)
William Ravenscroft; Stefan Goetze; Thomas Hain: Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023, IEEE, 2023. (Type: Proceedings Article | Links)
George Close; William Ravenscroft; Thomas Hain; Stefan Goetze: Perceive and Predict: Self-Supervised Speech Representation Based Loss Functions for Speech Enhancement. In: EEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023, IEEE, 2023. (Type: Proceedings Article | Links)

2022

William Ravenscroft; Stefan Goetze; Thomas Hain: Utterance Weighted Multi-Dilation Temporal Convolutional Networks for Monaural Speech Dereverberation. In: 2020 17th International Workshop on Acoustic Signal Enhancement (IWAENC), 2022. (Type: Proceedings Article | Links)
William Ravenscroft; Stefan Goetze; Thomas Hain: Att-TasNet: Attending to Encodings in Time-Domain Audio Speech Separation of Noisy, Reverberant Speech Mixtures. In: 2022. (Type: Journal Article | Links)
William Ravenscroft; Stefan Goetze; Thomas Hain: Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation. In: IEEE 30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, August 29 - September 2, 2022, 2022. (Type: Proceedings Article | Links)

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