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

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, consi...

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Bibliographic Details
Main Authors Ferreira, Alef Iury Siqueira, Oliveira, Gustavo dos Reis
Format Journal Article
LanguageEnglish
Published 28.07.2022
Subjects
Computer Science - Computation and Language
Computer Science - Sound
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Summary: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
DOI:10.48550/arxiv.2207.14418