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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 ...
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