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William Ravenscroft — most-cited papers & profile · Speech Audio
← authors
·
overview
William Ravenscroft
8
papers ·
34
citations ·
6
h-index
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Most-cited papers
Utterance Weighted Multi-Dilation Temporal Convolutional Networks for Monaural Speech Dereverberation
2022 · 8 citations
Perceive and predict: self-supervised speech representation based loss functions for speech enhancement
2023 · 8 citations
Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation
2022 · 6 citations
On Data Sampling Strategies for Training Neural Network Speech Separation Models
2023 · 6 citations
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments
2023 · 5 citations
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition
2024 · 1 citations
Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation
2022
Multi-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction for Speech Enhancement
2023
Top co-authors
Thomas Hain
· 8
Stefan Goetze
· 7
George Close
· 3
and Stefan Goetze
· 1
Anurag Chowdhury
· 1
Mark C. Fuhs
· 1
Mohammad Soleymanpour
· 1
Topics
Speech Enhancement
Audio Understanding
Speech Translation
Speech Recognition
Speaker Analysis