b'Kong Aik Lee'

research

∙ 09/21/2023

t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators

Presentation attack (spoofing) detection (PAD) typically operates alongs...

0 Tomi Kinnunen, et al. ∙

research

∙ 05/30/2023

Towards single integrated spoofing-aware speaker verification embeddings

This study aims to develop a single integrated spoofing-aware speaker ve...

2 Sung Hwan Mun, et al. ∙

research

∙ 03/02/2023

Speaker-Aware Anti-Spoofing

We address speaker-aware anti-spoofing, where prior knowledge of the tar...

0 Xuechen Liu, et al. ∙

research

∙ 02/23/2023

Incorporating Uncertainty from Speaker Embedding Estimation to Speaker Verification

Speech utterances recorded under differing conditions exhibit varying de...

0 Qiongqiong Wang, et al. ∙

research

∙ 02/19/2023

Probabilistic Back-ends for Online Speaker Recognition and Clustering

This paper focuses on multi-enrollment speaker recognition which natural...

0 Alexey Sholokhov, et al. ∙

research

∙ 10/28/2022

Speaker recognition with two-step multi-modal deep cleansing

Neural network-based speaker recognition has achieved significant improv...

0 Ruijie Tao, et al. ∙

research

∙ 10/27/2022

Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse Positive Pairs

We study a novel neural architecture and its training strategies of spea...

0 Ruijie Tao, et al. ∙

research

∙ 10/05/2022

ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

Benchmarking initiatives support the meaningful comparison of competing ...

0 Xuechen Liu, et al. ∙

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...

0 Hye-Jin Shim, et al. ∙

research

∙ 04/08/2022

Scoring of Large-Margin Embeddings for Speaker Verification: Cosine or PLDA?

The emergence of large-margin softmax cross-entropy losses in training d...

0 Qiongqiong Wang, et al. ∙

research

∙ 02/12/2022

Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents

In recent years, latent variable models, such as the Conditional Variati...

0 Jing Yang Lee, et al. ∙

research

∙ 02/08/2022

Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge

The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Ch...

0 Fan Yu, et al. ∙

research

∙ 02/03/2022

MFA: TDNN with Multi-scale Frequency-channel Attention for Text-independent Speaker Verification with Short Utterances

The time delay neural network (TDNN) represents one of the state-of-the-...

0 Tianchi Liu, et al. ∙

research

∙ 11/22/2021

DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation

The generation of personalized dialogue is vital to natural and human-li...

0 Jing Yang Lee, et al. ∙

research

∙ 10/03/2021

PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation Extraction

Speech enhancement aims to improve the perceptual quality of the speech ...

0 Yi Ma, et al. ∙

research

∙ 09/01/2021

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

ASVspoof 2021 is the forth edition in the series of bi-annual challenges...

1 Junichi Yamagishi, et al. ∙

research

∙ 09/01/2021

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

The automatic speaker verification spoofing and countermeasures (ASVspoo...

2 Hector Delgado, et al. ∙

research

∙ 09/01/2021

Benchmarking and challenges in security and privacy for voice biometrics

For many decades, research in speech technologies has focused upon impro...

0 Jean-Francois Bonastre, et al. ∙

research

∙ 08/27/2021

Task-aware Warping Factors in Mask-based Speech Enhancement

This paper proposes the use of two task-aware warping factors in mask-ba...

0 Qiongqiong Wang, et al. ∙

research

∙ 08/12/2021

Xi-Vector Embedding for Speaker Recognition

We present a Bayesian formulation for deep speaker embedding, wherein th...

0 Kong Aik Lee, et al. ∙

research

∙ 08/07/2021

Generating Personalized Dialogue via Multi-Task Meta-Learning

Conventional approaches to personalized dialogue generation typically re...

0 Jing Yang Lee, et al. ∙

research

∙ 07/14/2021

Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding

This paper proposes a serialized multi-layer multi-head attention for ne...

0 Hongning Zhu, et al. ∙

research

∙ 06/17/2021

Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification

In far-field speaker verification, the performance of speaker embeddings...

0 Li Zhang, et al. ∙

research

∙ 06/11/2021

Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing

Whether it be for results summarization, or the analysis of classifier f...

7 Tomi Kinnunen, et al. ∙

research

∙ 02/11/2021

ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech

The ASVspoof initiative was conceived to spearhead research in anti-spoo...

0 Andreas Nautsch, et al. ∙

research

∙ 08/20/2020

Using Multi-Resolution Feature Maps with Convolutional Neural Networks for Anti-Spoofing in ASV

This paper presents a simple but effective method that uses multi-resolu...

0 Qiongqiong Wang, et al. ∙

research

∙ 08/20/2020

A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition

This paper proposes a generalized framework for domain adaptation of Pro...

0 Qiongqiong Wang, et al. ∙

research

∙ 08/08/2020

Extrapolating false alarm rates in automatic speaker verification

Automatic speaker verification (ASV) vendors and corpus providers would ...

0 Alexey Sholokhov, et al. ∙

research

∙ 07/12/2020

Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

Recent years have seen growing efforts to develop spoofing countermeasur...

0 Tomi Kinnunen, et al. ∙

research

∙ 04/03/2020

Neural i-vectors

Deep speaker embeddings have been demonstrated to outperform their gener...

0 Ville Vestman, et al. ∙

research

∙ 12/13/2019

Short-duration Speaker Verification (SdSV) Challenge 2020: the Challenge Evaluation Plan

This document describes task1 of the Short-Duration Speaker Verification...

0 Hossein Zeinali, et al. ∙

research

∙ 12/02/2019

Speaker detection in the wild: Lessons learned from JSALT 2019

This paper presents the problems and solutions addressed at the JSALT wo...

0 Paola García, et al. ∙

research

∙ 11/05/2019

The ASVspoof 2019 database

Automatic speaker verification (ASV) is one of the most natural and conv...

0 Xin Wang, et al. ∙

research

∙ 11/04/2019

Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scores

How secure automatic speaker verification (ASV) technology is? More conc...

0 Alexey Sholokhov, et al. ∙

research

∙ 06/20/2019

Unleashing the Unused Potential of I-Vectors Enabled by GPU Acceleration

Speaker embeddings are continuous-value vector representations that allo...

0 Ville Vestman, et al. ∙

research

∙ 04/16/2019

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

The I4U consortium was established to facilitate a joint entry to NIST s...

0 Kong Aik Lee, et al. ∙

research

∙ 04/09/2019

ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

ASVspoof, now in its third edition, is a series of community-led challen...

0 Massimiliano Todisco, et al. ∙

research

∙ 01/04/2019

Introduction to Voice Presentation Attack Detection and Recent Advances

Over the past few years significant progress has been made in the field ...

0 Md Sahidullah, et al. ∙

research

∙ 12/26/2018

The CORAL+ Algorithm for Unsupervised Domain Adaptation of PLDA

State-of-the-art speaker recognition systems comprise an x-vector (or i-...

0 Kong Aik Lee, et al. ∙

research

∙ 09/25/2018

Attention Mechanism in Speaker Recognition: What Does It Learn in Deep Speaker Embedding?

This paper presents an experimental study on deep speaker embedding with...

0 Qiongqiong Wang, et al. ∙

research

∙ 04/25/2018

t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification

The ASVspoof challenge series was born to spearhead research in anti-spo...

0 Tomi Kinnunen, et al. ∙

research

∙ 02/05/2016

Fantastic 4 system for NIST 2015 Language Recognition Evaluation

This article describes the systems jointly submitted by Institute for In...

0 Kong Aik Lee, et al. ∙

Kong Aik Lee

Featured Co-authors