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Schrödinger Bridge Consistency Trajectory Models for Speech Enhancement
Shuichiro Nishigori, Koichi Saito, Naoki Murata +3
Speech enhancement (SE) utilizing diffusion models is a promising technology that improves speech quality in noisy speech data. Furthermore, the Schrödinger bridge (SB) has recentl…
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders
Hao Shi, Kazuki Shimada, Masato Hirano +6
Diffusion-based generative speech enhancement (SE) has recently received attention, but reverse diffusion remains time-consuming. One solution is to initialize the reverse diffusio…
Extending Audio Masked Autoencoders Toward Audio Restoration
Zhi Zhong, Hao Shi, Masato Hirano +5
Audio classification and restoration are among major downstream tasks in audio signal processing. However, restoration derives less of a benefit from pretrained models compared to…
An Attention-based Approach to Hierarchical Multi-label Music Instrument Classification
Zhi Zhong, Masato Hirano, Kazuki Shimada +3
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…