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Schlüter et al., 2018 - Google Patents

Zero-Mean Convolutions for Level-Invariant Singing Voice Detection.

Schlüter et al., 2018

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Document ID
3740383475648881056
Author
Schlüter J
Lehner B
Publication year
Publication venue
ISMIR

External Links

Snippet

State-of-the-art singing voice detectors are based on classifiers trained on annotated examples. As recently shown, such detectors have an important weakness: Since singing voice is correlated with sound level in training data, classifiers learn to become sensitive to …
Continue reading at ismir2018.ismir.net (PDF) (other versions)

Classifications

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    • G06F17/30743Audio data retrieval using features automatically derived from the audio content, e.g. descriptors, fingerprints, signatures, MEP-cepstral coefficients, musical score, tempo
    • GPHYSICS
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    • G10H2210/061Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal for extraction of musical phrases, isolation of musically relevant segments, e.g. musical thumbnail generation, or for temporal structure analysis of a musical piece, e.g. determination of the movement sequence of a musical work
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