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
Published inarXiv.org
Main Authors Alef Iury Siqueira Ferreira, Gustavo dos Reis Oliveira
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 29.07.2022
Subjects
Automatic speech recognition
Emotion recognition
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ISSN2331-8422

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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
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SourceType-Working Papers-1
ObjectType-Working Paper/Pre-Print-1
ISSN:2331-8422