most citedEnd-to-end spoofing detection with raw waveform CLDNNs

67 citations · 100 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS202067 cited

End-to-end spoofing detection with raw waveform CLDNNs

Heinrich Dinkel, Nanxin Chen, Yanmin Qian +1

Albeit recent progress in speaker verification generates powerful models, malicious attacks in the form of spoofed speech, are generally not coped with. Recent results in ASVSpoof2…

eess.AS20206 cited

Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict

Yosuke Higuchi, Shinji Watanabe, Nanxin Chen +2

We present Mask CTC, a novel non-autoregressive end-to-end automatic speech recognition (ASR) framework, which generates a sequence by refining outputs of the connectionist tempora…

eess.AS2020

x-vectors meet emotions: A study on dependencies between emotion and speaker recognition

Raghavendra Pappagari, Tianzi Wang, Jesus Villalba +2

In this work, we explore the dependencies between speaker recognition and emotion recognition. We first show that knowledge learned for speaker recognition can be reused for emotio…

eess.AS20199 cited

Zero-Shot Multi-Speaker Text-To-Speech with State-of-the-art Neural Speaker Embeddings

Erica Cooper, Cheng-I Lai, Yusuke Yasuda +4

While speaker adaptation for end-to-end speech synthesis using speaker embeddings can produce good speaker similarity for speakers seen during training, there remains a gap for zer…

cs.CL201918 cited

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks

Cheng-I Lai, Nanxin Chen, Jesús Villalba +1

We present JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT). Anti-spoofing has gathered more and more at…