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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorDuffany, Jeffrey
dc.contributor.authorDíaz Millet, Yesenia
dc.date.accessioned2020-11-16T13:38:52Z
dc.date.available2020-11-16T13:38:52Z
dc.date.issued2013
dc.identifier.citationDíaz Millet, Y. (2013). Audio fingerprinting with robustness to pitch scaling and time stretching [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/956
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractCurrent audio fingerprinting systems are becoming increasingly robust against noise and filter distortions, however songs that have been pitch scaled and time stretched are still likely to pass undetected. This research focuses on expanding an existing landmark-based fingerprinting method to identify songs that have been pitch scaled and time stretched to escape current systems while still sounding natural to the human ear. Two feature extraction methods have been explored with the purpose of resolving each task individually. The constant Q spectrogram was used for feature extraction, instead of a conventional spectrogram, to identify songs that have been pitch scaled. Mel-frequency Cepstral Coefficients were used as features for the other task. The goal is to verify whether or not low-level spectral based features alone are capable of handling such transformations in a song instead of needing to use mid-level or high-level musical features as is the case with other Song ID methods. Key Terms - Audio Fingerprinting, Feature Extraction, Music Information Retrieval, Music Similarity.en_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofComputer Engineering
dc.relation.ispartofseriesSpring-2013
dc.relation.haspartSan Juanen_US
dc.subject.lcshMusical pitchen_US
dc.subject.lcshIntonation (Musical pitch)
dc.subject.lcshInformation storage and retrieval systems--Music
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.titleAudio Fingerprinting with Robustness to Pitch Scaling and Time Stretchingen_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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