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Crowdsource-based validation of the audio cocktail as a sound browsing tool
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Tal, musik och hörsel, TMH.ORCID-id: 0000-0003-1262-4876
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Tal, musik och hörsel, TMH.ORCID-id: 0000-0001-9327-9482
2023 (engelsk)Inngår i: Interspeech 2023, International Speech Communication Association , 2023, s. 2178-2182Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We conduct two crowdsourcing experiments designed to examine the usefulness of audio cocktails to quickly find out information on the contents of large audio data. Several thousand crowd workers were engaged to listen to audio cocktails with systematically varied composition. They were then asked to state either which sound out of four categories (Children, Women, Men, Orchestra) they heard the most of, or if they heard anything of a specific category at all. The results show that their responses have high reliability and provide information as to whether a specific task can be performed using audio cocktails. We also propose that the combination of crowd workers and audio cocktails can be used directly as a tool to investigate the contents of large audio data.

sted, utgiver, år, opplag, sider
International Speech Communication Association , 2023. s. 2178-2182
Emneord [en]
annotation, exploration, found speech, hearing, human-in-the-loop
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-337834DOI: 10.21437/Interspeech.2023-2473Scopus ID: 2-s2.0-85171584146OAI: oai:DiVA.org:kth-337834DiVA, id: diva2:1803463
Konferanse
24th International Speech Communication Association, Interspeech 2023, Dublin, Ireland, Aug 20 2023 - Aug 24 2023
Merknad

QC 20231009

Tilgjengelig fra: 2023-10-09 Laget: 2023-10-09 Sist oppdatert: 2023-10-09bibliografisk kontrollert

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Fallgren, PerEdlund, Jens

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Totalt: 44 treff
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