The blog discusses Generative AI in audio, comparing its potential impact to that of fire and bread. It explains the technology behind AI audio generation, including tokenization, quantization, and vectorization. The post then outlines several applications of generative AI audio:
1. Voiceovers and text-to-speech in EdTech
2. Sound designing for movies and video games
3. AI music creation
4. Hyper-personalized chatbots
5. Real-time audio description for accessibility
Finally, the blog addresses challenges in developing generative AI audio, including technical issues, ethical concerns (such as deepfakes and copyright), and difficulties in sourcing training datasets.
Read the full article here:
https://www.datasciencecentral.com/what-is-generative-ai-audio-everything-you-need-to-know/
