175 citations · 494 across the 44 of their papers we have counts for
14 papers · 1 filter
DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation
Jing Yang Lee, Kong Aik Lee, Woon Seng Gan
The generation of personalized dialogue is vital to natural and human-like conversation. Typically, personalized dialogue generation models involve conditioning the generated respo…
PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation Extraction
Yi Ma, Kong Aik Lee, Ville Hautamaki +1
Speech enhancement aims to improve the perceptual quality of the speech signal by suppression of the background noise. However, excessive suppression may lead to speech distortion…
Self-supervised Speaker Recognition with Loss-gated Learning
Ruijie Tao, Kong Aik Lee, Rohan Kumar Das +2
In self-supervised learning for speaker recognition, pseudo labels are useful as the supervision signals. It is a known fact that a speaker recognition model doesn't always benefit…
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
Junichi Yamagishi, Xin Wang, Massimiliano Todisco +8
ASVspoof 2021 is the forth edition in the series of bi-annual challenges which aim to promote the study of spoofing and the design of countermeasures to protect automatic speaker v…
ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
Héctor Delgado, Nicholas Evans, Tomi Kinnunen +8
The automatic speaker verification spoofing and countermeasures (ASVspoof) challenge series is a community-led initiative which aims to promote the consideration of spoofing and th…
Benchmarking and challenges in security and privacy for voice biometrics
Jean-Francois Bonastre, Hector Delgado, Nicholas Evans +13
For many decades, research in speech technologies has focused upon improving reliability. With this now meeting user expectations for a range of diverse applications, speech techno…
Task-aware Warping Factors in Mask-based Speech Enhancement
Qiongqiong Wang, Kong Aik Lee, Takafumi Koshinaka +2
This paper proposes the use of two task-aware warping factors in mask-based speech enhancement (SE). One controls the balance between speech-maintenance and noise-removal in traini…
Xi-Vector Embedding for Speaker Recognition
Kong Aik Lee, Qiongqiong Wang, Takafumi Koshinaka
We present a Bayesian formulation for deep speaker embedding, wherein the xi-vector is the Bayesian counterpart of the x-vector, taking into account the uncertainty estimate. On th…
Generating Personalized Dialogue via Multi-Task Meta-Learning
Jing Yang Lee, Kong Aik Lee, Woon Seng Gan
Conventional approaches to personalized dialogue generation typically require a large corpus, as well as predefined persona information. However, in a real-world setting, neither a…
Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding
Hongning Zhu, Kong Aik Lee, Haizhou Li
This paper proposes a serialized multi-layer multi-head attention for neural speaker embedding in text-independent speaker verification. In prior works, frame-level features from o…
Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification
Li Zhang, Qing Wang, Kong Aik Lee +2
In far-field speaker verification, the performance of speaker embeddings is susceptible to degradation when there is a mismatch between the conditions of enrollment and test speech…
Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing
Tomi Kinnunen, Andreas Nautsch, Md Sahidullah +6
Whether it be for results summarization, or the analysis of classifier fusion, some means to compare different classifiers can often provide illuminating insight into their behavio…
Exploring Deep Learning for Joint Audio-Visual Lip Biometrics
Meng Liu, Longbiao Wang, Kong Aik Lee +3
Audio-visual (AV) lip biometrics is a promising authentication technique that leverages the benefits of both the audio and visual modalities in speech communication. Previous works…
ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech
Andreas Nautsch, Xin Wang, Nicholas Evans +7
The ASVspoof initiative was conceived to spearhead research in anti-spoofing for automatic speaker verification (ASV). This paper describes the third in a series of bi-annual chall…