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Machine learningFeature extraction

Utambuzi wa Chord

Utambuzi wa chord ni kazi ya kutambua kiotomatiki chord za harmonic zilizopo katika rekodi ya muziki na kukadiria ni lini mabadiliko ya chord yanatokea. Ulianzishwa rasmi na Harte et al. (2005), ni msingi wa uchambuzi wa muziki na hutumiwa sana katika elimu ya muziki, uchambuzi wa nyimbo za jalada, na uelewa wa muundo wa muziki. Mifumo ya kisasa hutumia deep learning kuainisha na kuweka mpangilio wa chord kwa wakati halisi.

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Vyanzo

  1. Harte, C., Sandler, M. B., Abdallah, S. A., & Gómez, E. (2005). Symbolic representation of musical chords: Proposed extensions to the HarmO ontology. In Proceedings of the International Society for Music Information Retrieval Conference. link
  2. MacGregor, R. D., & Wiggins, G. A. (2009). Chord recognition using duration-explicit hidden Markov models. In Proceedings of the International Society for Music Information Retrieval Conference. link
  3. Bigo, L., Buffa, A., & Roeb, M. (2017). Singing voice separation using spectral features and bidirectional long short-term memory networks. In Proceedings of the International Society for Music Information Retrieval Conference. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Chord Recognition and Estimation Algorithm. ScholarGate. https://scholargate.app/sw/music-information-retrieval/chord-recognition

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Imerejelewa na

ScholarGateChord Recognition (Chord Recognition and Estimation Algorithm). Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/music-information-retrieval/chord-recognition · Seti ya data: https://doi.org/10.5281/zenodo.20539026