Papers with voice activity projection

2 papers
Dialogue Act-Aided Backchannel Prediction Using Multi-Task Learning (2023.findings-emnlp)

Copied to clipboard

Challenge: Backchanneling is a form of feedback that is produced by listeners in a conversation . since the advent of ChatGPT, modern dialogue systems exhibit answer quality levels on par with humans in various professions.
Approach: They propose a multi-task learning approach that learns textual representations for the task of backchannel prediction in tandem with dialogue act classification.
Outcome: The proposed approach improves the prediction of specific backchannels by up to 2.0% in F1 . the audio encoder is pre-trained in a self-supervised fashion using voice activity projection .
Multilingual Turn-taking Prediction Using Voice Activity Projection (2024.lrec-main)

Copied to clipboard

Challenge: a monolingual model does not make good predictions when applied to other languages, but a multilingual model is able to discern the language of the input signal.
Approach: They propose to use a multilingual voice activity projection model to predict voice activities of spoken dialogue participants in English, Mandarin, and Japanese data.
Outcome: The proposed model predicts the upcoming voice activities of participants in dyadic dialogue on multilingual data, encompassing English, Mandarin, and Japanese.

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