34 citations · 91 across the 11 of their papers we have counts for
11 papers
Light Convolutional Neural Network with Feature Genuinization for Detection of Synthetic Speech Attacks
Zhenzong Wu, Rohan Kumar Das, Jichen Yang +1
Modern text-to-speech (TTS) and voice conversion (VC) systems produce natural sounding speech that questions the security of automatic speaker verification (ASV). This makes detect…
Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions
Rohan Kumar Das, Tomi Kinnunen, Wen-Chin Huang +5
The Voice Conversion Challenge 2020 is the third edition under its flagship that promotes intra-lingual semiparallel and cross-lingual voice conversion (VC). While the primary eval…
Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion
Yi Zhao, Wen-Chin Huang, Xiaohai Tian +5
The voice conversion challenge is a bi-annual scientific event held to compare and understand different voice conversion (VC) systems built on a common dataset. In 2020, we organiz…
Speaker-Utterance Dual Attention for Speaker and Utterance Verification
Tianchi Liu, Rohan Kumar Das, Maulik Madhavi +2
In this paper, we study a novel technique that exploits the interaction between speaker traits and linguistic content to improve both speaker verification and utterance verificatio…
Audio-visual Speaker Recognition with a Cross-modal Discriminative Network
Ruijie Tao, Rohan Kumar Das, Haizhou Li
Audio-visual speaker recognition is one of the tasks in the recent 2019 NIST speaker recognition evaluation (SRE). Studies in neuroscience and computer science all point to the fac…
The INTERSPEECH 2020 Far-Field Speaker Verification Challenge
Xiaoyi Qin, Ming Li, Hui Bu +4
The INTERSPEECH 2020 Far-Field Speaker Verification Challenge (FFSVC 2020) addresses three different research problems under well-defined conditions: far-field text-dependent speak…