Sound Retrieval from Voice Imitation Queries in Collaborative Databases

TitleSound Retrieval from Voice Imitation Queries in Collaborative Databases
Publication TypeConference Paper
Year of Publication2014
Conference NameAES 53rd Conference on Semantic Audio
AuthorsBlancas, D. S., & Janer J.
Conference Start Date27/01/2014
PublisherAudio Engineering Society
Conference LocationLondon, UK
AbstractThe retrieval of sounds in large databases can benefit from novel paradigms that exploit human-computer interaction. This work introduces the use of non-speech voice imitations as input queries in a large user-contributed sound repository. We address first the analysis of the human voice properties when imitating sounds. Second, we study the automatic classification of voice imitations in clusters by means of user experiments. Finally, we present an evaluation that demonstrates the potential of a content-based classification using voice imitations as input queries. Future perspectives for using voice interfaces in sound assets retrieval are exposed.
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