Getting Started with Music Generation
Explore some foundational concepts related to music generation.
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Audio generation has a number of applications. The most prominent and popular ones nowadays are a series of smart assistants (Google Assistant, Apple Siri, Amazon Alexa, and so on). These virtual assistants not only try to understand natural language queries but also respond in a very human-like voice. Audio generation also finds applications in the field of assistive technologies, where text-to-speech engines are used for reading content onscreen for people with reading disabilities.
Leveraging such technologies in the field of music generation is increasingly being explored as well. The acquisition of AI-based royalty-free music generation service Jukedeck by ByteDance (the parent company of social network TikTok) speaks volumes for this field’s potential value and
In fact, AI-based music generation is a growing trend with a number of competing solutions and research work. Commercial offerings for computer-aided music generation, such as Apple’s
Music generation is an inherently complex and difficult task. Doing so with the help of algorithms (machine learning or otherwise) is even more challenging. Nevertheless, music generation is an interesting area of research with a number of open problems and fascinating works. In this section, we’ll build a high-level understanding of this domain and explore a few important and foundational concepts.