Published March 13, 2026 | Version 1
Preprint Open

The influence of prosodic-acoustic features in automatic speech recognition of two inland Brazilian dialects: A pilot study - Supplementary materials

  • 1. ROR icon Universidade Estadual da Paraíba
  • 2. ROR icon Universidade Federal de Pernambuco
  • 3. ROR icon Universidade Estadual Paulista (Unesp)
  • 4. Companhia Pernambucana de Saneamento (COMPESA)

Description

Spplemantry materials contained in this repository:

  1. Script for realignment of the first-step forced alignment 
  2. Script for prosodic-acoustic feature extraction
  3. Spreadsheet of the acoustic features
  4. Linear Mixed-Effects Models results based on the acoustic features
  5. Report of automatic accent classification for each used machine learning algorithm

Files

CadLin_Preprint_Data_03_prosodic_features.txt

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Additional details

Funding

National Council for Scientific and Technological Development
Reconhecimento Automático de Sotaque Estrangeiro para Fins forenses 307010/2022-8