Ever wanted to narrate your own content with your voice?
In this latest video, I create realistic voiceovers using text-to-speech technology:
➡️ I cover:
- The basics of text-to-speech models
- Dataset preparation techniques
- Fine-tuning a model step-by-step
➡️ Key topics:
- Neural network approaches: transformers, diffusers, GANs
- Controlling style in generated audio
- Voice cloning vs fine-tuning tradeoffs
- Handling challenging voices (like my Irish accent!)
➡️ Practical implementation:
- Jupyter notebooks for data prep and model fine-tuning
- Tips for high-quality results with limited data (20 min)
- VRAM considerations and batch size optimization
Great original work on the StyleTTS2 model by Yinghao Li, Cong Han, Gavin Mischler, Vinay Raghavan and Nima Mesgarani.
Credit also to Rohan Sharma for the help on this video as part of the Trelis Internship project program.
That’s it for this week, cheers, Ronan
➡️ Learn more about Trelis Resources at Trelis.com/About