Multiple predominant instrument recognition in polyphonic music is addressed using
decision level fusion of three transformer-based architectures on an ensemble of visual …

Introduction Musical instrument recognition is a critical component of music information
retrieval (MIR), aimed at identifying and classifying instruments from audio recordings. This …

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 …

In this work, we focus on the problem of automatic instrument recognition (AIR) using
supervised learning. In particular, we follow a state-of-the-art AIR approach that combines a …

Solomusikinstrumenterkennung ist ein Forschungsthema, an dem schon seit Jahren
geforscht wird. Als nach dem sogenannten KI-Winter die Methoden von Feature basierten …

Single instrument recognition is a research topic that is worked on for many years. After the
AI winter the approaches switched from feature based methods to artificial neural networks …

Timbral autoencoders, a class of generative model that learn the timbre distribution of audio
data, are a current research focus in music technology; however, despite recent …

Single instrument recognition is a research topic that is worked on for many years. After the
AI winter the approaches switched from feature based methods to artificial neural networks …