This survey explores the symbiotic relationship between Machine Learning (ML) and music,
focusing on the transformative role of Artificial Intelligence (AI) in the musical sphere …

Accurately and objectively analyzing fish feeding intensity is essential to guiding feeding
and production techniques. Fish feeding intensity in recirculating aquaculture systems (RAS) …

Multi-modal learning aims to enhance performance by unifying models from various
modalities but often faces the" modality imbalance" problem in real data, leading to a bias …

Predicting the difficulty of playing a musical score is essential for structuring and exploring
score collections. Despite its importance for music education, the automatic difficulty …

Neural end-to-end Audio-to-Score (A2S) transcription aims to retrieve a score that encodes
the music content of an audio recording in a single step. Due to the recentness of this …

Due to the notorious modality imbalance problem, multimodal learning (MML) leads to the
phenomenon of optimization imbalance, thus struggling to achieve satisfactory performance …

Piano transcription is a significant problem in the field of music information retrieval, aiming
to obtain symbolic representations of music from captured audio or visual signals. Previous …

Automatically estimating the performance difficulty of a music piece represents a key
process in music education to create tailored curricula according to the individual needs of …

Brain transcriptomics provides insights into the molecular mechanisms by which the brain
coordinates its functions and processes. However, existing multimodal methods for …

In this paper, we make a novel study on the intelligent assessment for Chinese zither
(Zheng) fingerings in the cross field of art AI. Due to the gaps between science and art, there …