Generative Artificial Intelligence (AI) has emerged as a transformative field with far-reaching
implications across various domains. This review manuscript provides a advancements in …

Music-generative AI raises multiple challenges particularly related to the work of artists, the
existing music industry model, the role of AI in creative processes, and the discussion of …

In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

The widespread application of generative artificial intelligence (AI) poses both opportunities
and challenges in formal music education. Students can now effortlessly compose using …

The field of eXplainable Artificial Intelligence (XAI) has become a hot topic examining how
machine learning models such as neural nets and deep learning techniques can be made …

Expanding upon the potential of generative machine learning to create atemporal latent
space representations of musical-theoretical and cognitive interest, we delve into their …

Music is a potent form of expression that can communicate, accentuate or even create the
emotions of an individual or a collective. Both historically and in contemporary experiences …

The chapter delves into the foundations of generative artificial intelligence (AI), offering an
introductory overview and a nuanced understanding of its basic principles, history, and …

Music composition, an intricate blend of human creativity and emotion, presents substantial
challenges when generating melodies from lyrics which hinders effective learning in neural …

The intent of this chapter is to introduce the reader to the foundations upon which Generative
Artificial Intelligence (GenAI) is slowly revolutionizing the field of cybersecurity. Over the next …