April 12, 2024, 4:47 a.m. | Arushi Goel, Zhifeng Kong, Rafael Valle, Bryan Catanzaro

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.07616v1 Announce Type: new
Abstract: Existing datasets for audio understanding primarily focus on single-turn interactions (i.e. audio captioning, audio question answering) for describing audio in natural language, thus limiting understanding audio via interactive dialogue. To address this gap, we introduce Audio Dialogues: a multi-turn dialogue dataset containing 163.8k samples for general audio sounds and music. In addition to dialogues, Audio Dialogues also has question-answer pairs to understand and compare multiple input audios together. Audio Dialogues leverages a prompting-based approach and …

arxiv audio cs.cl cs.sd dataset eess.as music type understanding

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