Audio Question Answering
5 papers with code • 2 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Audio Question Answering
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RoadTracer
Latest papers with no code
Audio Dialogues: Dialogues dataset for audio and music understanding
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.
AQUALLM: Audio Question Answering Data Generation Using Large Language Models
The significance of possessing high-quality, diverse, and extensive AQA datasets cannot be overstated when aiming for the precision of an AQA system.
Attention-Based Methods For Audio Question Answering
On the yes/no binary classification task, our proposed model achieves an accuracy of 68. 3% compared to 62. 7% in the reference model.
Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering
Audio question answering (AQA) is a multimodal translation task where a system analyzes an audio signal and a natural language question, to generate a desirable natural language answer.
