出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Today, the growing market of entertainment has placed a higher demand for music. Quality
music is essential for video making, video game making, or even in any public places. However,
sometimes finding a suitable list of music can be hard and expensive. This may be solved by
automatic, deep-learning based music making. Using Recurrent Neural Network, computers are
able to learn the patterns from existing music pieces and convert them to a possibility map.
Companies like Google, Sony, and Amper are creating their applications for music generation.
We plan to set up a platform where generating music can be done and retrieved directly online.
With different options for genre and length, the users can conveniently generate music that fits
their needs.
关键词：Music Generation; Machine Learning; RNN; Web Service
