000096416 001__ 96416 000096416 005__ 20201120151207.0 000096416 037__ $$aTAZ-TFG-2020-3844 000096416 041__ $$aeng 000096416 1001_ $$aRamoneda Franco, Pedro 000096416 24200 $$aHarmonic Change Detection from Musical Audio 000096416 24500 $$aHarmonic Change Detection from Musical Audio 000096416 260__ $$aZaragoza$$bUniversidad de Zaragoza$$c1997 000096416 500__ $$aEl proyecto ha sido realizado en el Sound And Music Computing Lab FEUP Universidade do Porto and INESCTEC 000096416 506__ $$aby-nc-sa$$bCreative Commons$$c3.0$$uhttp://creativecommons.org/licenses/by-nc-sa/3.0/ 000096416 520__ $$aIn this dissertation, we advance an enhanced method for computing Harte et al.’s [31] Harmonic Change Detection Function (HCDF). HCDF aims to detect harmonic transitions in musical audio signals. HCDF is crucial both for the chord recognition in Music Information Retrieval (MIR) and a wide range of creative applications. In light of recent advances in harmonic description and transformation, we depart from the original architecture of Harte et al.’s HCDF, to revisit each one of its component blocks, which are evaluated using an exhaustive grid search aimed to identify optimal parameters across four large style-specific musical datasets. Our results show that the newly proposed methods and parameter optimization improve the detection of harmonic changes, by 5.57% (f-score) with respect to previous methods. Furthermore, while guaranteeing recall values at > 99%, our method improves precision by 6.28%. Aiming to leverage novel strategies for real-time harmonic-content audio processing, the optimized HCDF is made available for Javascript and the MAX and Pure Data multimedia programming environments. Moreover, all the data as well as the Python code used to generate them, are made available.<br /><br /> 000096416 521__ $$aGraduado en Ingeniería Informática 000096416 540__ $$aDerechos regulados por licencia Creative Commons 000096416 700__ $$aBernardes de Almeida, Gilberto$$edir. 000096416 7102_ $$aUniversidad de Zaragoza$$bInformática e Ingeniería de Sistemas$$cIngeniería de Sistemas y Automática 000096416 7202_ $$aTardos Solano, Juan Domingo$$eponente 000096416 8560_ $$f717976@unizar.es 000096416 8564_ $$s7251488$$uhttps://zaguan.unizar.es/record/96416/files/TAZ-TFG-2020-3844.pdf$$yMemoria (eng) 000096416 909CO $$ooai:zaguan.unizar.es:96416$$pdriver$$ptrabajos-fin-grado 000096416 950__ $$a 000096416 951__ $$adeposita:2020-11-20 000096416 980__ $$aTAZ$$bTFG$$cEINA 000096416 999__ $$a20200917120352.CREATION_DATE