Papers with predicting phoneme labels

1 papers
An Improved Model for Voicing Silent Speech (2021.acl-short)

Copied to clipboard

Challenge: Existing models for voicing silent speech use hand-designed features instead of EMG signals.
Approach: They propose to use facial electromyography signals as input instead of hand-designed features to give the model greater flexibility to learn its own features.
Outcome: The proposed model improves state-of-the-art on an open vocabulary intelligibility evaluation by 25.8%.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations