Introducing the SEA\_AP: an Enhanced Tool for Automatic Prosodic Analysis

SEA{\_}AP (Segmentador e Etiquetador Autom{\'a}tico para An{\'a}lise Pros{\'o}dica, Automatic Segmentation and Labelling for Prosodic Analysis) toolkit is an application that performs audio segmentation and labelling to create a TextGrid file which will be used to launch a prosodic analysis using Praat. In this paper, we want to describe the improved functionality of the tool achieved by adding a dialectometric analysis module using R scripts... (read more)

PDF Abstract LREC 2016 PDF LREC 2016 Abstract
No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet