activity
20182024
most citedKey-Sparse Transformer for Multimodal Speech Emotion Recognition

74 citations · 102 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2024★ 1 cited

Adaptive-avg-pooling based Attention Vision Transformer for Face Anti-spoofing

Jichen Yang, Fangfan Chen, Rohan Kumar Das +2

Traditional vision transformer consists of two parts: transformer encoder and multi-layer perception (MLP). The former plays the role of feature learning to obtain better represent…

cs.SD2021★ 74 cited

Key-Sparse Transformer for Multimodal Speech Emotion Recognition

Weidong Chen, Xiaofeng Xing, Xiangmin Xu +2

Speech emotion recognition is a challenging research topic that plays a critical role in human-computer interaction. Multimodal inputs further improve the performance as more emoti…

eess.AS2021★ 2 cited

Data Augmentation with Signal Companding for Detection of Logical Access Attacks

Rohan Kumar Das, Jichen Yang, Haizhou Li

The recent advances in voice conversion (VC) and text-to-speech (TTS) make it possible to produce natural sounding speech that poses threat to automatic speaker verification (ASV)…

eess.AS2020★ 1 cited

HLT-NUS Submission for NIST 2019 Multimedia Speaker Recognition Evaluation

Rohan Kumar Das, Ruijie Tao, Jichen Yang +3

This work describes the speaker verification system developed by Human Language Technology Laboratory, National University of Singapore (HLT-NUS) for 2019 NIST Multimedia Speaker R…

eess.AS2020★ 13 cited

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…

eess.AS2020★ 7 cited

Multi-modal Attention for Speech Emotion Recognition

Zexu Pan, Zhaojie Luo, Jichen Yang +1

Emotion represents an essential aspect of human speech that is manifested in speech prosody. Speech, visual, and textual cues are complementary in human communication. In this pape…