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06/01/2023
Encoder-decoder multimodal speaker change detection
The task of speaker change detection (SCD), which detects points where s...
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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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11/01/2022
Disentangled representation learning for multilingual speaker recognition
The goal of this paper is to train speaker embeddings that are robust to...
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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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04/21/2022
Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion
Deep learning has brought impressive progress in the study of both autom...
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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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01/25/2022
SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan
ASV (automatic speaker verification) systems are intrinsically required ...
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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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10/04/2021
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Artefacts that differentiate spoofed from bona-fide utterances can resid...
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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
Look who's not talking
The objective of this work is speaker diarisation of speech recordings '...
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10/29/2020
The ins and outs of speaker recognition: lessons from VoxSRC 2020
The VoxCeleb Speaker Recognition Challenge (VoxSRC) at Interspeech 2020 ...
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10/22/2020
Graph Attention Networks for Speaker Verification
This work presents a novel back-end framework for speaker verification u...
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09/29/2020
Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020
This report describes our submission to the VoxCeleb Speaker Recognition...
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07/23/2020
Augmentation adversarial training for unsupervised speaker recognition
The goal of this work is to train robust speaker recognition models with...
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05/18/2020
End-to-End Lip Synchronisation
The goal of this work is to synchronise audio and video of a talking fac...
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03/26/2020
In defence of metric learning for speaker recognition
The objective of this paper is 'open-set' speaker recognition of unseen ...
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01/31/2020
A study on the role of subsidiary information in replay attack spoofing detection
In this study, we analyze the role of various categories of subsidiary i...
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10/22/2019
Self-supervised pre-training with acoustic configurations for replay spoofing detection
Large datasets are well-known as a key to the recent advances in deep le...
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07/01/2019
Cosine similarity-based adversarial process
An adversarial process between two deep neural networks is a promising a...
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04/23/2019
Acoustic scene classification using teacher-student learning with soft-labels
Acoustic scene classification identifies an input segment into one of th...
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04/23/2019
Replay attack detection with complementary high-resolution information using end-to-end DNN for the ASVspoof 2019 Challenge
In this study, we concentrate on replacing the process of extracting han...
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04/17/2019
RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification
Recently, direct modeling of raw waveforms using deep neural networks ha...
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02/07/2019
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification
In recent years, speaker verification has been primarily performed using...
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10/25/2018
Short utterance compensation in speaker verification via cosine-based teacher-student learning of speaker embeddings
Input utterance with short duration is one of the most critical threats ...
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08/29/2018