102 citations · 188 across the 21 of their papers we have counts for
5 papers · 1 filter
Contrastive Audio-Visual Masked Autoencoder
Yuan Gong, Andrew Rouditchenko, Alexander H. Liu +4
In this paper, we first extend the recent Masked Auto-Encoder (MAE) model from a single modality to audio-visual multi-modalities. Subsequently, we propose the Contrastive Audio-Vi…
UAVM: Towards Unifying Audio and Visual Models
Yuan Gong, Alexander H. Liu, Andrew Rouditchenko +1
Conventional audio-visual models have independent audio and video branches. In this work, we unify the audio and visual branches by designing a Unified Audio-Visual Model (UAVM). T…
Masked Autoencoders As The Unified Learners For Pre-Trained Sentence Representation
Alexander Liu, Samuel Yang
Despite the progresses on pre-trained language models, there is a lack of unified frameworks for pre-trained sentence representation. As such, it calls for different pre-training m…
Simple and Effective Unsupervised Speech Synthesis
Alexander H. Liu, Cheng-I Jeff Lai, Wei-Ning Hsu +3
We introduce the first unsupervised speech synthesis system based on a simple, yet effective recipe. The framework leverages recent work in unsupervised speech recognition as well…
Towards End-to-end Unsupervised Speech Recognition
Alexander H. Liu, Wei-Ning Hsu, Michael Auli +1
Unsupervised speech recognition has shown great potential to make Automatic Speech Recognition (ASR) systems accessible to every language. However, existing methods still heavily r…