论文标题
SE＆R 2022挑战的域特异性WAV2VEC 2.0微调
Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 Challenge
论文作者
论文摘要
本文介绍了我们为在葡萄牙语中自发和准备好的语音和语音情感识别的共同任务自动语音识别（SE＆R 2022）的共同任务自动语音识别的努力。挑战的目的是考虑葡萄牙语的ASR研究，考虑到不同方言的准备和自发语音。我们的方法包括在域特异性方法中微调ASR模型，应用增益归一化和选择性噪声插入。提出的方法比可用的4个轨道中的3个曲目中提供的强大基线改进了
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
