activity
20202022
most citedOne-class Learning Towards Synthetic Voice Spoofing Detection

211 citations · 248 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2022★ 1 cited

Low-Complexity Acoustic Echo Cancellation with Neural Kalman Filtering

Dong Yang, Fei Jiang, Wei Wu +2

The Kalman filter has been adopted in acoustic echo cancellation due to its robustness to double-talk, fast convergence, and good steady-state performance. The performance of Kalma…

eess.AS2022★ 8 cited

Music Source Separation with Generative Flow

Ge Zhu, Jordan Darefsky, Fei Jiang +2

Fully-supervised models for source separation are trained on parallel mixture-source data and are currently state-of-the-art. However, such parallel data is often difficult to obta…

eess.AS2021★ 27 cited

An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

You Zhang, Ge Zhu, Fei Jiang +1

Spoofing countermeasure (CM) systems are critical in speaker verification; they aim to discern spoofing attacks from bona fide speech trials. In practice, however, acoustic conditi…

eess.AS2020★ 211 cited

One-class Learning Towards Synthetic Voice Spoofing Detection

You Zhang, Fei Jiang, Zhiyao Duan

Human voices can be used to authenticate the identity of the speaker, but the automatic speaker verification (ASV) systems are vulnerable to voice spoofing attacks, such as imperso…

eess.AS2020★ 1 cited

Y-Vector: Multiscale Waveform Encoder for Speaker Embedding

Ge Zhu, Fei Jiang, Zhiyao Duan

State-of-the-art text-independent speaker verification systems typically use cepstral features or filter bank energies as speech features. Recent studies attempted to extract speak…