activity
20162023
most citedASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech

175 citations · 494 across the 44 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.SD2023★ 1 cited

The second multi-channel multi-party meeting transcription challenge (M2MeT) 2.0): A benchmark for speaker-attributed ASR

Yuhao Liang, Mohan Shi, Fan Yu +11

With the success of the first Multi-channel Multi-party Meeting Transcription challenge (M2MeT), the second M2MeT challenge (M2MeT 2.0) held in ASRU2023 particularly aims to tackle…

cs.SD2023★ 12 cited

Emphasized Non-Target Speaker Knowledge in Knowledge Distillation for Automatic Speaker Verification

Duc-Tuan Truong, Ruijie Tao, Jia Qi Yip +2

Knowledge distillation (KD) is used to enhance automatic speaker verification performance by ensuring consistency between large teacher networks and lightweight student networks at…

eess.AS2023

Towards single integrated spoofing-aware speaker verification embeddings

Sung Hwan Mun, Hye-jin Shim, Hemlata Tak +12

This study aims to develop a single integrated spoofing-aware speaker verification (SASV) embeddings that satisfy two aspects. First, rejecting non-target speakers' input as well a…

eess.AS2023

Generalized domain adaptation framework for parametric back-end in speaker recognition

Qiongqiong Wang, Koji Okabe, Kong Aik Lee +1

State-of-the-art speaker recognition systems comprise a speaker embedding front-end followed by a probabilistic linear discriminant analysis (PLDA) back-end. The effectiveness of t…

cs.SD2023

Speaker-Aware Anti-Spoofing

Xuechen Liu, Md Sahidullah, Kong Aik Lee +1

We address speaker-aware anti-spoofing, where prior knowledge of the target speaker is incorporated into a voice spoofing countermeasure (CM). In contrast to the frequently used sp…

eess.AS2023

Incorporating Uncertainty from Speaker Embedding Estimation to Speaker Verification

Qiongqiong Wang, Kong Aik Lee, Tianchi Liu

Speech utterances recorded under differing conditions exhibit varying degrees of confidence in their embedding estimates, i.e., uncertainty, even if they are extracted using the sa…

cs.SD2023

Cross-modal Audio-visual Co-learning for Text-independent Speaker Verification

Meng Liu, Kong Aik Lee, Longbiao Wang +3

Visual speech (i.e., lip motion) is highly related to auditory speech due to the co-occurrence and synchronization in speech production. This paper investigates this correlation an…

eess.AS2023

Probabilistic Back-ends for Online Speaker Recognition and Clustering

Alexey Sholokhov, Nikita Kuzmin, Kong Aik Lee +1

This paper focuses on multi-enrollment speaker recognition which naturally occurs in the task of online speaker clustering, and studies the properties of different scoring back-end…