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20232025
most citedCosine Scoring with Uncertainty for Neural Speaker Embedding

7 citations · 14 across the 9 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.SD2024

MoMuSE: Momentum Multi-modal Target Speaker Extraction for Real-time Scenarios with Impaired Visual Cues

Junjie Li, Ke Zhang, Shuai Wang +3

Audio-visual Target Speaker Extraction (AV-TSE) aims to isolate the speech of a specific target speaker from an audio mixture using time-synchronized visual cues. In real-world sce…

eess.AS2024★ 1 cited

Towards Quantifying and Reducing Language Mismatch Effects in Cross-Lingual Speech Anti-Spoofing

Tianchi Liu, Ivan Kukanov, Zihan Pan +3

The effects of language mismatch impact speech anti-spoofing systems, while investigations and quantification of these effects remain limited. Existing anti-spoofing datasets are m…

eess.AS2024

Overview of Speaker Modeling and Its Applications: From the Lens of Deep Speaker Representation Learning

Shuai Wang, Zhengyang Chen, Kong Aik Lee +2

Speaker individuality information is among the most critical elements within speech signals. By thoroughly and accurately modeling this information, it can be utilized in various i…

cs.SD2024★ 7 cited

Cosine Scoring with Uncertainty for Neural Speaker Embedding

Qiongqiong Wang, Kong Aik Lee

Uncertainty modeling in speaker representation aims to learn the variability present in speech utterances. While the conventional cosine-scoring is computationally efficient and pr…

cs.SD2024

Gradient weighting for speaker verification in extremely low Signal-to-Noise Ratio

Yi Ma, Kong Aik Lee, Ville Hautamäki +2

Speaker verification is hampered by background noise, particularly at extremely low Signal-to-Noise Ratio (SNR) under 0 dB. It is difficult to suppress noise without introducing un…