activity
20182023
most citedAttention-based Audio-Visual Fusion for Robust Automatic Speech Recognition

73 citations · 145 across the 13 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

eess.AS2018★ 73 cited

Attention-based Audio-Visual Fusion for Robust Automatic Speech Recognition

George Sterpu, Christian Saam, Naomi Harte

Automatic speech recognition can potentially benefit from the lip motion patterns, complementing acoustic speech to improve the overall recognition performance, particularly in noi…

cs.CL2018★ 22 cited

Multimodal Continuous Turn-Taking Prediction Using Multiscale RNNs

Matthew Roddy, Gabriel Skantze, Naomi Harte

In human conversational interactions, turn-taking exchanges can be coordinated using cues from multiple modalities. To design spoken dialog systems that can conduct fluid interacti…

cs.CL2018

Investigating Speech Features for Continuous Turn-Taking Prediction Using LSTMs

Matthew Roddy, Gabriel Skantze, Naomi Harte

For spoken dialog systems to conduct fluid conversational interactions with users, the systems must be sensitive to turn-taking cues produced by a user. Models should be designed s…

eess.IV2018

Towards Lipreading Sentences with Active Appearance Models

George Sterpu, Naomi Harte

Automatic lipreading has major potential impact for speech recognition, supplementing and complementing the acoustic modality. Most attempts at lipreading have been performed on sm…

eess.IV2018

Can DNNs Learn to Lipread Full Sentences?

George Sterpu, Christian Saam, Naomi Harte

Finding visual features and suitable models for lipreading tasks that are more complex than a well-constrained vocabulary has proven challenging. This paper explores state-of-the-a…