Audio Retrieval With Natural Language Queries: A Benchmark Study

The objectives of this work are cross-modal text-audio and audio-text retrieval , in which the goal is to retrieve the audio content from a pool of candidates that best matches a given written description and vice versa. Text-audio retrieval enables users to search large databases through an intuiti...

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Bibliographic Details
Published in:	IEEE transactions on multimedia Vol. 25; pp. 2675 - 2685
Main Authors:	Koepke, A. Sophia, Oncescu, Andreea-Maria, Henriques, Joao F., Akata, Zeynep, Albanie, Samuel
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Audio retrieval Benchmark testing Benchmarks datasets Descriptions Free form Grounding Metadata Natural language Natural languages Queries Retrieval Task analysis text-based retrieval Visual databases Visualization
ISSN:	1520-9210, 1941-0077
Online Access:	Get full text
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