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Audio Set: An ontology and human-labeled dataset for audio events

• Jort F. Gemmeke, Daniel P. W. Ellis, +5 authors Marvin Ritter
• 2017 IEEE International Conference on Acoustics…
• 2017

Audio event recognition, the human-like ability to identify and relate sounds from audio, is a nascent problem in machine perception. Comparable problems such as object detection in images have… (More)

Large-scale audio event discovery in one million YouTube videos

• Aren Jansen, Jort F. Gemmeke, Daniel P. W. Ellis, Xiaofeng Liu, Wade Lawrence, Dylan Freedman
• 2017 IEEE International Conference on Acoustics…
• 2017

Internet videos provide a virtually boundless source of audio with a conspicuous lack of localized annotations, presenting an ideal setting for unsupervised methods. With this motivation, we perform… (More)

Correlating Extracted and Ground-Truth Harmonic Data in Music Retrieval Tasks

• Dylan Freedman, Eddie Kohler, Hans Tutschku
• ISMIR
• 2015

We show that traditional music information retrieval tasks with well-chosen parameters perform similarly using computationally extracted chord annotations and groundtruth annotations. Using a… (More)

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