AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Music

Showing 51 to 60 of 85 articles

Clear Filters

Research on the Interaction of Genetic Algorithm in Assisted Composition.

Computational intelligence and neuroscience
Computer-aided composition is an attempt to use a formalized process to minimize human (or composer) involvement in the creation of music using a computer. Exploring the problem of computer-aided composition can enable us to understand and simulate t...

Environmental sound classification using temporal-frequency attention based convolutional neural network.

Scientific reports
Environmental sound classification is one of the important issues in the audio recognition field. Compared with structured sounds such as speech and music, the time-frequency structure of environmental sounds is more complicated. In order to learn ti...

Music video emotion classification using slow-fast audio-video network and unsupervised feature representation.

Scientific reports
Affective computing has suffered by the precise annotation because the emotions are highly subjective and vague. The music video emotion is complex due to the diverse textual, acoustic, and visual information which can take the form of lyrics, singer...

Compensated Fuzzy Neural Network-Based Music Teaching Ability Assessment Model.

Computational intelligence and neuroscience
College is the main place to carry out music teaching, and it is important to assess the music teaching ability in college effectively. Based on this, this paper firstly analyzes the necessity of music teaching ability assessment and briefly summariz...

Deep-Learning-Based Multimodal Emotion Classification for Music Videos.

Sensors (Basel, Switzerland)
Music videos contain a great deal of visual and acoustic information. Each information source within a music video influences the emotions conveyed through the audio and video, suggesting that only a multimodal approach is capable of achieving effici...

One-way dependent clusters and stability of cluster synchronization in directed networks.

Nature communications
Cluster synchronization in networks of coupled oscillators is the subject of broad interest from the scientific community, with applications ranging from neural to social and animal networks and technological systems. Most of these networks are direc...

Transforming text to music using artificial intelligence improves the frontal lobe function of normal older adults.

Brain and behavior
INTRODUCTION: Recent advances in artificial intelligence (AI) have been substantial. We investigated the effectiveness of an online meeting in which normal older adults (otokai) used a music-generative AI that transforms text to music (Music Trinity ...

Machine Learning Approach for Music Familiarity Classification with Single-Channel EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Recognition of familiar music on brainwaves through machine learning (ML) can be instrumental in innovative therapeutic devices that improve memory and communication in dementia patients. In this study, a variety of machine learning algorithms were a...

Enhancing music recognition using deep learning-powered source separation technology for cochlear implant users.

The Journal of the Acoustical Society of America
Cochlear implant (CI) is currently the vital technological device for assisting deaf patients in hearing sounds and greatly enhances their sound listening appreciation. Unfortunately, it performs poorly for music listening because of the insufficient...

Development of the lyrics-based deep learning algorithm for identifying alcohol-related words (LYDIA).

Alcohol and alcoholism (Oxford, Oxfordshire)
BACKGROUND: Music is an integral part of our lives and is often played in public places like restaurants. People exposed to music that contained alcohol-related lyrics in a bar scenario consumed significantly more alcohol than those exposed to music ...