Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 Challenge
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Abstract (arXiv)
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
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 15 of its 25 references that are in the map. First posted on arXiv 29 Jul 2022.
Builds on
15 of 25 references.
References · 15
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- 2021The Multilingual TEDx Corpus for Speech Recognition and Translationcited by 101
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1.
3 papers.