conference

A Transformer-based Model for Sentence-Level Chinese Mandarin Lipreading
Lipreading is a task that converts silent speaker video into its speech content, which has practical value in many scenarios. However, …
Feature Extraction for Visual Speaker Authentication Against Computer-Generated Video Attacks
Recent research shows that the lip feature can achieve reliable authentication performance with a good liveness detection ability. …
Speaker-Independent Lipreading with Limited Data
Recent researches have demonstrated that with a huge annotated training dataset, some sophisticated automatic lipreading methods …
Visual Speech Recognition in Natural Scenes Based on Sptial Transformer Networks
In this paper, we improve the performance of visual speech recognition in natural scenes based on spatial transformer networks. Visual …
Lip Image Segmentation in Mobile Devices Based on Alternative Knowlegde Distillation
Lip image segmentation, as the first step in many lip-related tasks (e.g. automatic lipreading), is of vital significance for the …
Spatio-Temporal Fusion based Convolutional Sequence Learning for Lip Reading
Current state-of-the-art approaches for lip reading are based on sequence-to-sequence architectures that are designed for natural …
Visual Speaker Authentication by a CNN-Based Scheme with Discriminative Segment Analysis
Recent research shows that the static and dynamic features of a lip utterance contain abundant identity-related information. In this …
3D Convolutional Neural Networks Based Speker Identification and Authentication
Research shows that human lips can be used as a new kind of biometrics in personal identification and authentication. In this letter, a …