activity
20172020
most citedEnd-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models

36 citations · 56 across the 8 of their papers we have counts for

collaborators

8 papers

cs.MM2020

Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach

Yunjie Zhang, Fei Tao, Xudong Liu +6

With the rising of short video apps, such as TikTok, Snapchat and Kwai, advertisement in short-term user-generated videos (UGVs) has become a trending form of advertising. Predicti…

cs.AI2020★ 5 cited

Themes Informed Audio-visual Correspondence Learning

Runze Su, Fei Tao, Xudong Liu +6

The applications of short-term user-generated video (UGV), such as Snapchat, and Youtube short-term videos, booms recently, raising lots of multimodal machine learning tasks. Among…

cs.MM2020★ 2 cited

Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream

Haoran Wei, Fei Tao, Runze Su +2

Conventional spoken language understanding (SLU) consist of two stages, the first stage maps speech to text by automatic speech recognition (ASR), and the second stage maps text to…

eess.AS2020★ 2 cited

Improving Embedding Extraction for Speaker Verification with Ladder Network

Fei Tao, Gokhan Tur

Speaker verification is an established yet challenging task in speech processing and a very vibrant research area. Recent speaker verification (SV) systems rely on deep neural netw…

eess.AS2020

Multi-Task Siamese Neural Network for Improving Replay Attack Detection

Patrick von Platen, Fei Tao, Gokhan Tur

Automatic speaker verification systems are vulnerable to audio replay attacks which bypass security by replaying recordings of authorized speakers. Replay attack detection (RA) det…

cs.CL2018★ 36 cited

End-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models

Fei Tao, Carlos Busso

Speech activity detection (SAD) plays an important role in current speech processing systems, including automatic speech recognition (ASR). SAD is particularly difficult in environ…