Linganisha mbinu

	Utambuzi wa Kitufe cha Muziki	Utambuzi wa Chord
Nyanja	Upataji wa Taarifa za Muziki	Upataji wa Taarifa za Muziki
Familia	Machine learning	Machine learning
Mwaka wa asili	2006	2005
Mwanzilishi	Emilia Gómez	Christopher Harte
Aina	Tonal center estimation	Harmonic audio analysis
Chanzo asilia	Gómez, E. (2006). Tonal description of polyphonic audio for music content processing. In INESC Porto PhD Thesis.	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.
Majina mbadala	key recognition, tonality estimation, musical center detection	chord estimation, harmonic analysis, chord detection
Zinazohusiana	5	5
Muhtasari	Musical key detection is the task of automatically determining the key (tonal center) and scale mode of a musical composition from its audio. Introduced formally by Gómez (2006), it is essential for music analysis, transposition, harmonic understanding, and music theory education. The key defines the tonal center around which a piece gravitates; identifying it enables deeper structural understanding. Key detection is closely related to chord recognition but operates at a higher level of abstraction.	Chord recognition is the task of automatically identifying the harmonic chords present in a musical recording and estimating when chord changes occur. Introduced formally by Harte et al. (2005), it is a cornerstone of music analysis and widely used in music education, cover song analysis, and musical structure understanding. Modern systems use deep learning to classify and sequence chords in real time.