In today's real‐world, estimation of the level of difficulty of the musical is part of very
meaningful musical learning. A musical learner cannot learn without a defined precise …

Open AI's language model, GPT-3, has shown great potential for many NLP tasks, with
applications in many different domains. In this work we carry out a first study on GPT-3's …

This work addresses the needs of the music generation field by developing a music
generation system based on an advanced Transformer model. The system incorporates an …

Featured Application This paper presents an improvement of the Jukebox system for music
generation, which significantly reduces the inference time. Abstract The Jukebox model can …

The paper proposes a novel approach called MusicEmo, a transformer-based intelligent
system for music emotion generation and recognition. The paper highlights the challenges …

This paper proposes a novel Transformer-based model for music score infilling, to generate
a music passage that fills in the gap between given past and future contexts. While existing …

Navigating the intersection of artificial intelligence and music, this work delves into the
application of Generative Adversarial Networks (GANs) for jazz music composition. The GAN …

In recent years, significant advancements in music-generating deep learning models and
neural networks have revolutionized the process of composing harmonically-sounding …

With the expansion of the installed capacity of power system and the scale of power grid, the
operation of various electrical equipment requires the reliability of power system to be …

The content creator industry has been booming. After COVID-19 hit, the way content was
observed changed drastically within the people using the social media platforms like …