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• W96254548 abstract "Current work on Query-by-Singing/Humming (QBSH) focusses mainly on databases that contain MIDI files. Here, we present an approach that works on real audio recordings that bring up additional challenges. To tackle the problem of extracting the melody of the lead vocals from recordings, we introduce a method inspired by the popular “karaoke effect” exploiting information about the spatial arrangement of voices and instruments in the stereo mix. The extracted signal time series are aggregated into symbolic strings preserving the local approximated values of a feature and revealing higher-level context patterns. This allows distance measures for string pattern matching to be applied in the matching process. A series of experiments are conducted to assess the discrimination and robustness of this representation. They show that the proposed approach provides a viable baseline for further development and point out several possibilities for improvement." @default.
• W96254548 created "2016-06-24" @default.
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• W96254548 date "2007-01-01" @default.
• W96254548 modified "2023-09-28" @default.
• W96254548 title "Towards Query by Singing/Humming on Audio Databases." @default.
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