Audio Retrieval with Natural Language Queries

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 <PRE_TAG>audio retrieval</POST_TAG>, 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 <PRE_TAG>audio retrieval</POST_TAG> with free-form text queries.