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- W3000168898 abstract "Several prior works have proposed various methods for the task of automatic melody harmonization, in which a model aims to generate a sequence of chords to serve as the harmonic accompaniment of a given multiple-bar melody sequence. In this paper, we present a comparative study evaluating and comparing the performance of a set of canonical approaches to this task, including a template matching based model, a hidden Markov based model, a genetic algorithm based model, and two deep learning based models. The evaluation is conducted on a dataset of 9,226 melody/chord pairs we newly collect for this study, considering up to 48 triad chords, using a standardized training/test split. We report the result of an objective evaluation using six different metrics and a subjective study with 202 participants." @default.
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- W3000168898 date "2020-01-07" @default.
- W3000168898 modified "2023-09-24" @default.
- W3000168898 title "Automatic Melody Harmonization with Triad Chords: A Comparative Study" @default.
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- W3000168898 doi "https://doi.org/10.48550/arxiv.2001.02360" @default.
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