Piper AI Voice Clone training

***** MUST WORK WITH MY LIMITED BUDGET OF MAX $30 USD, SERIOUS & HONEST FREELANCERS ONLY, YOU MUST HAVE EXPERIENCE WITH AI VOICE CLONING AND PIPER **

This project is less than 12 hour job for Piper AI Clone training. Freelancers don't complain or make excuse about the cost of GPU. We can pay you extra for GPU or we can spin up a GPU server for you. Or if you have your own PC with a GPU to use for this project let us know. We are a radio station and our funds are tight. We also only less 3 to 12 hours max so many web hosts will offer free GPU limited servers for the 12 hours like kaggle.com or google colab

I have a library of 100+ mp3 recordings of one speaker that I need converted into a fully trained Piper TTS model. You may need to strip background bed music using demcus.

But the music has a low DB and dry voice is louder. Also music does go away or so low u cant hear it as mp3 plays. So voice is dry and louder. All 100 plus files are under 5 min each. So u dont need convert all 100 + files. I just want to provide you enough files so you can clone ai voice.

The goal is a voice that sounds indistinguishable from the original; I want an exact match because the model will power an on-air AI DJ for a radio stream. You can bootstrap with the “ryan” preset, but the finished model must faithfully reproduce my speaker’s timbre, pacing, and articulation under normal broadcast processing.

You’ll handle every step—dataset cleanup, alignment, training, fine-tuning, and export—on your own GPU rig. When you’re done, hand over the compiled ONNX files (and any supporting config/json) ready to drop into Piper-TTS, plus a short demonstration clip so I can verify quality before final sign-off.

Deliverables
• Cleaned & aligned training dataset
• Trained Piper model in ONNX format (+ metadata)
• Demo audio proving voice accuracy

Speed is important, so let me know your estimated turnaround and the hardware you’ll train on when you reply.