Text-to-speech generation using transformers

Text-to-speech generation has been always an important part of AI agents, which usually need to talk to the user at some point. Using transformers for this specific task is also helpful. They can learn how to replicate different voices as well. This specific topic is not a new one, but the advances in this field are ongoing.

BARK (as in, a dog’s bark!) is one of the most successful models in this field. This model can generate realistic human voices along with background noise, music, and sound effects. It is multilingual and also supports multiple speakers. Its usage is very simple with transformers:

1. First, you need to import transformers:

   from transformers import AutoProcessor, AutoModel

2. The processor and model should be loaded next. The processor is required for processing input:

   processor = AutoProcessor.from_pretrained("suno/bark")
   model = AutoModel.from_pretrained("suno/bark")

3. Now, you can...