This paper presents our efforts to build a robust ASR model for the shared task Automatic Speech Recognition for spontaneous and prepared speech & Speech Emotion Recognition in Portuguese (SE&R 2022). The goal of the challenge is to advance the ASR research for the Portuguese language, considering prepared and spontaneous speech in different dialects. Our method consist on fine-tuning an ASR model in a domain-specific approach, applying gain normalization and selective noise insertion. The proposed method improved over the strong baseline provided on the test set in 3 of the 4 tracks available
@article{arxiv.2207.14418,
title = {Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 Challenge},
author = {Alef Iury Siqueira Ferreira and Gustavo dos Reis Oliveira},
journal= {arXiv preprint arXiv:2207.14418},
year = {2022}
}
Comments
Proceedings of the First Workshop on Automatic Speech Recognition for Spontaneous and Prepared Speech & Speech Emotion Recognition in Portuguese (SE&R 2022), co-located with PROPOR 2022