Music source separation (MSS) faces challenges due to the limited availability of correctly-
labeled individual instrument tracks. With the push to acquire larger datasets to improve …

Identification of multiple predominant instruments in polyphonic music is addressed using
convolutional neural networks (CNN) through Mel-spectrogram, modgd-gram, and its fusion …

In this article, a new multi-input deep convolutional neural networks (deep-CNNs) model
architecture is addressed for the recognition of predominant instruments in polyphonic music …

Group delay processing of audio signals has been extensively studied in the last decade. In
this paper, tonic estimation in Turkish makam music is addressed using modified group …

Instrument recognition is a critical task in the field of music information retrieval and deep
neural networks have become the dominant models for this task due to their effectiveness …

高效精准的乐器识别技术可以有效地推动声源分离, 音乐识谱, 音乐流派分类等研究的深入发展,
可广泛应用于播放列表生成, 声学环境分类, 乐器智能教学和交互式多媒体等众多领域. 近年来 …

Multi-instrument recognition in polyphonic music is an important research area in music
information retrieval. In recent years, significant achievements have been made in this area …

Automatic identification of lead instruments is a challenging task in the field of music
information retrieval (MIR). In this paper, predominant instrument recognition in polyphonic …

With the growing amount of musical data available, automatic instrument recognition, one of
the essential problems in Music Information Retrieval (MIR), is drawing more and more …

In the past decade, musicians have composed new occidental-style music scores, often
encoded in XML-based formats for analysis. However, the oriental genre lacks XML support …