Prosody Prediction

2 papers with code • 1 benchmarks • 2 datasets

Predicting prosodic prominence from text. This is a 2-way classification task, assigning each word in a sentence a label 1 (prominent) or 0 (non-prominent).

( Image credit: Helsinki Prosody Corpus )

Most implemented papers

Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations

Helsinki-NLP/prosody WS (NoDaLiDa) 2019

In this paper we introduce a new natural language processing dataset and benchmark for predicting prosodic prominence from written text.

On the Utility of Self-supervised Models for Prosody-related Tasks

jsalt-2022-ssl/superb-prosody 13 Oct 2022

We find that 13 of the 15 SSL models outperformed the baseline on all the prosody-related tasks.