Masato Hirano — accepted AI-conference papers

2024

Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders

Hao Shi, Kazuki Shimada, Masato Hirano, Takashi Shibuya, Yuichiro Koyama, Zhi Zhong +3

ICASSP 2024accepted

Diffusion-based generative speech enhancement (SE) has recently received attention, but reverse diffusion remains time-consuming. One solution is to initialize the reverse diffusion process with enhanced features estimated by a predictive SE system. However, the pipeline structure currently does not…

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2023

An Attention-Based Approach to Hierarchical Multi-Label Music Instrument Classification

Zhi Zhong, Masato Hirano, Kazuki Shimada, Kazuya Tateishi, Shusuke Takahashi, Yuki Mitsufuji

ICASSP 2023accepted

Although music is typically multi-label, many works have studied hierarchical music tagging with simplified settings such as single-label data. Moreover, there lacks a framework to describe various joint training methods under the multi-label setting. In order to discuss the above topics, we introdu…

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