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Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 Challenge

2022-07-29 00:48:40
Alef Iury Siqueira Ferreira, Gustavo dos Reis Oliveira
arXiv_CL
           
Abstract

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

Abstract (translated)

URL

https://arxiv.org/abs/2207.14418

PDF

https://arxiv.org/pdf/2207.14418.pdf

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