Dataset Card for CORAAL Dataset Description Homepage: Repository: Paper: Leaderboard: Point of Contact: Dataset Summary This dataset comprises audio files, text files, and audio segments sourced from the Corpus of Regional African American Language (CORAAL). CORAAL is a subset of the Online Resources for African American Language (ORAAL) project, initiated by a team of linguistics researchers at the University of Oregon. The original CORAAL dataset encompasses over 220 sociolinguistic interviews featuring African American Language (AAL) speakers born between 1888 and 2005. Each interview includes accompanying audio files and human transcribed transcripts. While many large language models excel at automatic speech recognition, they often fall short when confronted with speech containing linguistic variations they haven't been trained on. Since CORAAL's initial release in January 2018 as the first public corpus of AAL data, it is highly probable that recent automatic speech recognition models struggle with AAL transcription. The primary aim of this dataset is to facilitate developers in training or fine tuning their ASR models specifically for AAL, "a language spoken by more than 30…
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