research
∙
09/14/2023
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks
We propose a decoder-only language model, VoxtLM, that can perform four ...
share
research
∙
06/01/2023
Encoder-decoder multimodal speaker change detection
The task of speaker change detection (SCD), which detects points where s...
research
∙
05/31/2023
Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing
Audio anti-spoofing for automatic speaker verification aims to safeguard...
research
∙
05/30/2023
Towards single integrated spoofing-aware speaker verification embeddings
This study aims to develop a single integrated spoofing-aware speaker ve...
research
∙
11/09/2022
Absolute decision corrupts absolutely: conservative online speaker diarisation
Our focus lies in developing an online speaker diarisation framework whi...
research
∙
11/08/2022
High-resolution embedding extractor for speaker diarisation
Speaker embedding extractors significantly influence the performance of ...
research
∙
11/01/2022
Disentangled representation learning for multilingual speaker recognition
The goal of this paper is to train speaker embeddings that are robust to...
research
∙
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 ...
research
∙
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...
research
∙
04/03/2022
Selective Kernel Attention for Robust Speaker Verification
Recent state-of-the-art speaker verification architectures adopt multi-s...
research
∙
03/16/2022
Raw waveform speaker verification for supervised and self-supervised learning
Speaker verification models that directly operate upon raw waveforms are...
research
∙
02/24/2022
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation
The performance of spoofing countermeasure systems depends fundamentally...
research
∙
01/25/2022
SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan
ASV (automatic speaker verification) systems are intrinsically required ...
research
∙
10/07/2021
Disentangled dimensionality reduction for noise-robust speaker diarisation
The objective of this work is to train noise-robust speaker embeddings f...
research
∙
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-...
research
∙
10/04/2021
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Artefacts that differentiate spoofed from bona-fide utterances can resid...
research
∙
07/27/2021
End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection
Artefacts that serve to distinguish bona fide speech from spoofed or dee...
research
∙
04/15/2021
Attentive Max Feature Map for Acoustic Scene Classification with Joint Learning considering the Abstraction of Classes
The attention mechanism has been widely adopted in acoustic scene classi...
research
∙
04/14/2021
Learning Metrics from Mean Teacher: A Supervised Learning Method for Improving the Generalization of Speaker Verification System
Most speaker verification tasks are studied as an open-set evaluation sc...
research
∙
04/08/2021
Graph Attention Networks for Anti-Spoofing
The cues needed to detect spoofing attacks against automatic speaker ver...
research
∙
04/07/2021
Adapting Speaker Embeddings for Speaker Diarisation
The goal of this paper is to adapt speaker embeddings for solving the pr...
research
∙
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...
research
∙
10/22/2020
Graph Attention Networks for Speaker Verification
This work presents a novel back-end framework for speaker verification u...
research
∙
07/09/2020
Capturing scattered discriminative information using a deep architecture in acoustic scene classification
Frequently misclassified pairs of classes that share many common acousti...
research
∙
06/10/2020
Integrated Replay Spoofing-aware Text-independent Speaker Verification
A number of studies have successfully developed speaker verification or ...
research
∙
05/07/2020
Segment Aggregation for short utterances speaker verification using raw waveforms
Most studies on speaker verification systems focus on long-duration utte...
research
∙
05/07/2020
Crop Aggregating for short utterances speaker verification using raw waveforms
Most studies on speaker verification systems focus on long-duration utte...
research
∙
04/01/2020
Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveforms
Recent advances in deep learning have facilitated the design of speaker ...
research
∙
04/01/2020
Improved RawNet with Filter-wise Rescaling for Text-independent Speaker Verification using Raw Waveforms
Recent advances in deep learning have facilitated the design of speaker ...
research
∙
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...
research
∙
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...
research
∙
07/01/2019
Cosine similarity-based adversarial process
An adversarial process between two deep neural networks is a promising a...
research
∙
04/23/2019
Acoustic scene classification using teacher-student learning with soft-labels
Acoustic scene classification identifies an input segment into one of th...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
08/29/2018
