|Andreea-Maria Oncescu (University of Oxford, UK), A. Sophia Koepke (Universität Tübingen, Germany), João F. Henriques (University of Oxford, UK), Zeynep Akata (Universität Tübingen, Germany), Samuel Albanie (University of Oxford, UK)|
We consider the task of retrieving audio using free-form natural language queries. To study this problem, which has received limited attention in the existing literature, we introduce challenging new benchmarks for text-based audio retrieval using text annotations sourced from the AUDIOCAPS and CLOTHO datasets. We then employ these benchmarks to establish baselines for cross-modal audio retrieval, where we demonstrate the benefits of pre-training on diverse audio tasks. We hope that our benchmarks will inspire further research into cross-modal text-based audio retrieval with free-form text queries.