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Unsupervised Content Discovery in Composite Audio ...
https://www.microsoft.com/en-us/research/publication/unsupervised-content-discovery-in-composite-audio/
Unsupervised Content Discovery in Composite Audio. Published by Association for Computing Machinery, Inc. Automatically extracting semantic content from audio streams can be helpful in many multimedia applications.
Unsupervised Content Discovery in Composite Audio
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/unsupervisedaudiodiscovery_mm05.pdf
Unsupervised Content Discovery in Composite Audio Rui Cai Department of Computer Science and Technology, Tsinghua Univ. Beijing, 100084, China [email protected] Lie Lu Microsoft Research Asia No. 49 Zhichun Road Beijing, 100080, China [email protected] Alan Hanjalic Department of Mediamatics Delft University of Technology
CiteSeerX — Unsupervised content discovery in …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.8827
Abstract. Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approaches to content extraction, which are hard to generalize and require suitable training data, we propose in this paper an unsupervised approach to discover and categorize semantic content in a …
(PDF) Unsupervised content discovery in composite audio
https://www.researchgate.net/publication/221571614_Unsupervised_content_discovery_in_composite_audio
Unsupervised content discovery in composite audio. January 2005; ... we propose in this paper an unsupervised approach to discover and categorize semantic content in …
Unsupervised content discovery in composite audio ...
https://dl.acm.org/doi/abs/10.1145/1101149.1101292
Home Conferences MM Proceedings MULTIMEDIA '05 Unsupervised content discovery in composite audio. Article . Unsupervised content discovery in composite audio. Share on. Authors: Rui Cai. Tsinghua Univ., Beijing, China ...
Audio Content Discovery: An Unsupervised Approach ...
https://link.springer.com/chapter/10.1007/978-0-387-76569-3_4
Abstract. Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approaches to content extraction, which are hard to generalize and require suitable training data, we propose in this chapter a completely unsupervised approach to content …
Content Discovery from Composite Audio : An …
https://www.narcis.nl/publication/RecordID/oai:tudelft.nl:uuid:ad50215b-e446-4ead-9a02-25f6f9bf7da7
Content Discovery from Composite Audio : An unsupervised approach: Author: Lu, L. Thesis advisor: Lagendijk, R.L.; Hanjalic, A. Date issued: 2009-12-02: Access: Open Access: Reference(s) audio content analysis, unsupervised audio content discovery, auido element, auido (key)words, audio scene, audio scene segmentation and clustering: Language: English: Type
Content Discovery from Composite Audio
https://homepage.tudelft.nl/c7c8y/Theses/PhDThesisLieLu.pdf
Content Discovery from Composite Audio An unsupervised approach Proefschrift ter verkrijging van de graad van doctor aan de Technische Universiteit Delft,
Unsupervised content discovery in composite audio - CORE
https://core.ac.uk/display/281734547
Content discovery. Recommender Discovery. Managing content. Repository dashboard. Support. FAQs. About About CORE Blog Contact us. Unsupervised content discovery in composite audio . By Rui Cai, Lie Lu and Alan Hanjalic. Cite . BibTex; Full …
Unsupervised content discovery in composite audio - CORE
https://core.ac.uk/display/21406954
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approaches to content extraction, which are hard to generalize and require suitable training data, we propose in this paper an unsupervised approach to discover and categorize semantic content in a composite …
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