mlsanityData to 7 Oct 2026

The language of sound search: Examining User Queries in Audio Search Engines

arXiv 2410.08324 ↗First posted 10 Oct 2024cs.CL cs.HC cs.IRcited by 3

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Abstract (arXiv)

This study examines textual, user-written search queries within the context of sound search engines, encompassing various applications such as foley, sound effects, and general audio retrieval. Current research inadequately addresses real-world user needs and behaviours in designing text-based audio retrieval systems. To bridge this gap, we analysed search queries from two sources: a custom survey and Freesound website query logs. The survey was designed to collect queries for an unrestricted, hypothetical sound search engine, resulting in a dataset that captures user intentions without the constraints of existing systems. This dataset is also made available for sharing with the research community. In contrast, the Freesound query logs encompass approximately 9 million search requests, providing a comprehensive view of real-world usage patterns. Our findings indicate that survey queries are generally longer than Freesound queries, suggesting users prefer detailed queries when not limited by system constraints. Both datasets predominantly feature keyword-based queries, with few survey participants using full sentences. Key factors influencing survey queries include the primary sound source, intended usage, perceived location, and the number of sound sources. These insights are crucial for developing user-centred, effective text-based audio retrieval systems, enhancing our understanding of user behaviour in sound search contexts.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 8 of its 22 references that are in the map. First posted on arXiv 10 Oct 2024.

Builds on

8 of 22 references.

References · 8

  1. 2024Mixtral of Expertscited by 1,785
  2. 2024Large Language Models: A Surveycited by 506
  3. 2019Clotho: An Audio Captioning Datasetcited by 354
  4. 2020FSD50K: An Open Dataset of Human-Labeled Sound Eventscited by 339
  5. 2021Audio Retrieval with Natural Language Queries: A Benchmark Studycited by 61
  6. 2023A Prompt Log Analysis of Text-to-Image Generation Systemscited by 24
  7. 2022Language-based Audio Retrieval Task in DCASE 2022 Challengecited by 5
  8. 2023On The Open Prompt Challenge In Conditional Audio Generationcited by 3

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Citing papers per year: 2026: 3.

3 papers.