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Xia Liang

2 accepted papers

2024

ByteHum: Fast and Accurate Query-by-Humming in the Wild

ICASSP 2024accepted

Query by Humming (QBH) is a practically meaningful task, while most existing methods struggle to scale to real-life applications due to the complex preprocessing for building the database and the limited search speed. In this paper, we propose the ByteHum system, a fast and efficient humming retriev…

Cited by 0SourceScholar
2023

Bytecover3: Accurate Cover Song Identification On Short Queries

ICASSP 2023accepted

Deep learning based methods have become a paradigm for cover song identification (CSI) in recent years, where the ByteCover systems have achieved state-of-the-art results on all the mainstream datasets of CSI. However, with the burgeon of short videos, many real-world applications require matching s…

Cited by 0SourceScholar