
A new 239.30-hour spontaneous speech corpus with the paulistano accent in Brazilian Portuguese, the NURC-SP Audio Corpus, is introduced and used to evaluate state-of-the-art automatic speech recognition models.


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a-large-dataset-of-spontaneous-speech-with-the-paulistano-accent-for-automatic-speech-recognition-evaluation


A Large Dataset of Spontaneous Speech with the Paulistano Accent for Automatic Speech Recognition Evaluation


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The incorporation of pseudo-labeled publicly available data is a highly effective strategy for improving ASR accuracy and noise robustness.


conformer-1-a-robust-automatic-speech-recognition-model-trained-on-570k-hours-of-diverse-speech-data


Conformer-1: A Robust Automatic Speech Recognition Model Trained on 570k Hours of Diverse Speech Data
