Joint Speaker Encoder and Neural Back-end Model for Fully End-to-End
Automatic Speaker Verification with Multiple Enrollment Utterances

Joint Speaker Encoder and Neural Back-end Model for Fully End-to-End Automatic Speaker Verification with Multiple Enrollment Utterances

Computer Speech and Language (CSL), 2022

1 September 2022

Chang Zeng

Xin Wang

Junichi Yamagishi

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Papers citing "Joint Speaker Encoder and Neural Back-end Model for Fully End-to-End Automatic Speaker Verification with Multiple Enrollment Utterances"

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Title
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionConference on Computer and Communications Security (CCS), 2024 Xinfeng Li Kai Li Yifan Zheng Chen Yan Xiaoyu Ji Wei Dong 168 38 0 14 Sep 2024
Spoofing-Aware Speaker Verification Robust Against Domain and Channel MismatchesSpoken Language Technology Workshop (SLT), 2024 Chang Zeng Xiaoxiao Miao Xin Wang Erica Cooper Junichi Yamagishi AAML 114 2 0 10 Sep 2024
What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy ConditionsInterspeech (Interspeech), 2023 Hanyu Meng V. Sethu E. Ambikairajah 206 3 0 10 Apr 2024
LC4SV: A Denoising Framework Learning to Compensate for Unseen Speaker Verification ModelsAutomatic Speech Recognition & Understanding (ASRU), 2023 Chi-Chang Lee Hong-Wei Chen Chu-Song Chen Hsin-Min Wang Tsung-Te Liu Yu Tsao 158 3 0 28 Nov 2023