Instrument activity detection is a fundamental task in music information retrieval, serving as a
basis for many applications, such as music recommendation, music tagging, or remixing …

Deep learning systems have become popular for tackling a variety of music information
retrieval tasks. However, these systems often require large amounts of labeled data for …

In the field of Music Information Retrieval (MIR), the automated detection of the singing voice
within a given music recording constitutes a challenging and important research problem. In …

Traditionally, work on singing voice detection has focused on identifying singing activity in
music recordings. In this work, our aim is to extend this task towards simultaneously …

主旋律提取在音乐检索, 乐谱抄录, 翻唱识别等领域具有广泛应用. 复调音乐频谱结构复杂多样,
音高变化范围广, 因此复调音乐的主旋律提取较为困难. 本文综述了复调音乐主旋律提取研究 …

Music signal analysis is a research field concerning the extraction of meaningful information
from musical audio signals. This thesis analyses the music signals from the note-level to the …

Composers of music can express emotions and communicate with their audience in a
multitude of ways. They decide on which voices or instruments to use, arrange notes into …

This paper proposes an extension of a method for time-frequency analysis of nonstationary
harmonic signals: the Fan Chirp Transform (FChT). In its original form, the FChT considers …