Composing Music with Generative Models

In the preceding chapters, we discussed a number of generative models focused on tasks such as image, text, and video generation. In the contexts of very basic MNIST digit generation to more involved tasks like mimicking Barack Obama, we explored a number of complex works along with their novel contributions, and spent time understanding the nuances of the tasks and datasets involved.

We saw, in the previous chapters on text generation, how improvements in the field of computer vision helped usher in drastic improvements in the NLP domain as well. Similarly, audio is another domain where the cross-pollination of ideas from computer vision and NLP domains has broadened the perspective. Audio generation is not a new field, but thanks to research in the deep learning space, this domain has seen some tremendous improvements in recent years as well.

Audio generation has a number of applications. The most prominent and popular ones nowadays...