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Xiaoliang He

2 accepted papers

2026

Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model

AAAI 2026technical

Semi-supervised singing melody extraction (SSME) is one of the key tasks in the field of music information retrieval (MIR). Recently, several SSME methods have been proposed and achieved remarkable successes. However, existing methods are still facing two critical issues: firstly, there is a lack of

Cited by 0SourcePDFScholar
2025

A Mamba-based Network for Semi-supervised Singing Melody Extraction Using Confidence Binary Regularization

ICASSP 2025accepted

Singing melody extraction (SME) is a key task in the field of music information retrieval. However, existing methods are facing several limitations: firstly, prior models use transformers to capture the contextual dependencies, which requires quadratic computation resulting in low efficiency in the…

Cited by 0SourceScholar