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11/09/2022
Absolute decision corrupts absolutely: conservative online speaker diarisation
Our focus lies in developing an online speaker diarisation framework whi...
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11/08/2022
High-resolution embedding extractor for speaker diarisation
Speaker embedding extractors significantly influence the performance of ...
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10/20/2022
Large-scale learning of generalised representations for speaker recognition
The objective of this work is to develop a speaker recognition model to ...
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03/16/2022
Raw waveform speaker verification for supervised and self-supervised learning
Speaker verification models that directly operate upon raw waveforms are...
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10/07/2021
Disentangled dimensionality reduction for noise-robust speaker diarisation
The objective of this work is to train noise-robust speaker embeddings f...
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10/07/2021
Multi-scale speaker embedding-based graph attention networks for speaker diarisation
The objective of this work is effective speaker diarisation using multi-...
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08/17/2021
Look Who's Talking: Active Speaker Detection in the Wild
In this work, we present a novel audio-visual dataset for active speaker...
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04/07/2021
Adapting Speaker Embeddings for Speaker Diarisation
The goal of this paper is to adapt speaker embeddings for solving the pr...
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04/07/2021
Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network
In this work, we propose an overlapped speech detection system trained a...
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11/30/2020
