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Onset detection still has room for improvement, especially when dealing with polyphonic music signals. For certain purposes in which the correctness of the result is a must, user intervention is hence required to correct the mistakes performed by the detection algorithm. In such interactive paradigm, the exactitude of the detection can be guaranteed at the expense of user’s work, being the effort...
AXES, Access for Audiovisual Archives, is a research project developing tools for new engaging ways to interact with audiovisual libraries, integrating advanced audio and video analysis technologies. The presented prototype is targeted at academic researchers and journalists. The tool allows them to search and retrieve video segments through metadata, audio analysis, as well as visual concepts and...
The following topics are dealt with: content based multimedia indexing; image classification; video classification; visual indexing; information retrieval; summarization; audio analysis;Scalable Video Indexing;Content Based Search;Feature Extraction, Classification, and Object Detection.
This paper presents AudioCycle, a prototype application for browsing through music loop libraries. AudioCycle provides the user with a graphical view where the audio extracts are visualized and organized according to their similarity in terms of musical properties, such as timbre, harmony, and rhythm. The user is able to navigate in this visual representation, and listen to individual audio extracts,...
This paper demonstrates the importance of temporal sequences for passage-level music information retrieval. A number of audio analysis problems are solved successfully by using models that throw away the temporal sequence data. This paper suggests that we do not have this luxury when we consider a more difficult problem: that is finding musically similar passages within a narrow range of musical styles...
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