Yuki Hiramatsu — accepted AI-conference papers

2022

Difficulty-Aware Neural Band-to-Piano Score Arrangement based on Note- and Statistic-Level Criteria

Moyu Terao, Yuki Hiramatsu, Ryoto Ishizuka, Yiming Wu, Kazuyoshi Yoshii

ICASSP 2022accepted

This paper describes a neural music arrangement method that converts a given band score into a piano score with an elementary or advanced level. The major challenge of this task lies in its ill-posed nature, i.e., various piano arrangements are plausible for a band score. In this paper, we take a sc…

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2021

Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model

Yuki Hiramatsu, Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii

ICASSP 2021accepted

This paper describes a statistical post-processing method for automatic singing transcription that corrects pitch and rhythm errors included in a transcribed note sequence. Although the performance of frame-level pitch estimation has been improved drastically by deep learning techniques, note-level…

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