Master
You should have at least one of these: 1. strong programming knowledge, artificial intelligence, machine learning and deep learning 2. be familiar with the music production process and softwares, love and have experience in making music (prefer independent musicians)
AI with Creative Music
Creating music is difficult, which requires professional techniques and the participation of multiple professionals. Independent musicians or unsigned bands, which is a huge group with passion and creativity for music, have to play multiple roles simultaneously. Therefore, independent musicians finish all works by themselves, which means they need to obtain a variety of capacities: 1. familiar with the performance of various instruments and are able to play different instruments 2. have knowledge about music theory and basic harmony 3. can compose and make arrangements themselves 4. know how to use different softwares and equipment required etc... Also, statistics indicate that around half of independent musicians do not have a music relative background, which implies that becoming an outstanding independent musician can be even more time and energy-consuming. However, not much help is provided to assist them to explore different types of work and utilize their creativity the most.
I believe with the help of AI, human creativity can be implemented and extended in a more efficient way. For people, like independent musicians, who need an assistant to help them complete some tedious and repetitive work, using AI technology allows a larger space for them to use their creativity. AI can interfere in three different stages when musicians make music: 1. Before musicians decide what content they produce, they can use this platform to easily record their inspirations. For example, users can generate the first version work just through humming, and the platform could transfer it into a combination of different instruments according to settings and users’ preferences. Or even, let AI generate some short pieces of music randomly, and users can extract parts that they think are inspired. 2. During the process of users making music, AI can analyze the finished music part and give users some feedback and suggestions, such as deleting/adding notes and adjusting rhythm or melody. 3. After finishing the work, AI helps users revise details and overall style, such as making adjustments according to its usage. For instance, whether it is background music for business trailers or music, especially for important galas. AI as an assistant could help musicians produce their most satisfying final work.