The TTS Model Has A Name And I Am Dying Inside
I have finally named the Text-to-Speech project. It is called Chroma TTS. I chose the name because I thought colors sounded cool. Now it sounds ironic given the state of my mental health during development.
Naming something is easy when you ignore the 197 commits required to build it. Naming something hard when every commit introduces a new bug that breaks audio processing in a browser.
The Commit History
There are 197 commits to the repository. Ninety-seven percent of them involve debugging tensor shapes that do not add up correctly. The rest involves changing variable names in hopes that magic will appear. That is the truth. There is no secret sauce. There is only debugging and hope.
I am not even close to finished with the project. The model exists in code form but refuses to produce coherent audio files half the time. It sometimes produces static instead of voice. It sometimes produces silence. It sometimes produces my own sobbing recorded at low quality.
The Competitor Situation
LH-Tech AI already uploaded his TTS model to our organization. His model uses 28 million parameters. Mine uses 5 million. He is bigger. I am smaller. His model is glitchy and robotic. My model is glitchy and overtrained. We are both glitchy. The difference is negligible at this stage.
He sounds robotic. I sound like a robot having an identity crisis mid-way through a sentence. That counts as unique. That counts as artistic expression. I tell myself that when I hear him outputting garbage data.
Competition drives innovation. It also drives sleep deprivation. I am experiencing both simultaneously.
Why It Is Called Chroma
I wanted something visual. Something spectral. Something that implies range of frequency. I wanted to imply that the audio spans across the spectrum. Maybe I wanted to imply I understand the theory of sound better than I actually do. I probably did not.
The name stuck. It is now official. The GitHub repository is live. The HuggingFace page is ready. The documentation is barely readable. That fits the brand.
How You Can Help
Building audio models costs money. Training requires GPUs. Debugging requires sanity. None of these are cheap. If you want to see this finish faster then support the project on KoFi. All tiers grant early access to models once they stop crashing randomly.
Tier 1: Early access to Chroma TTS plus datasets. Water.
Tier 2: Everything above plus exclusive content, direct messages, and priority testing.
Tier 3: Everything above plus social media shout-outs, Discord access, and exclusive requests for dataset creation.
Final Thoughts
Chroma TTS is a name. It is not a finished product. It is not ready for prime time. It is 197 commits away from something that might work properly. I am dying inside trying to get it working. I will keep going anyway.
I will debug the next bug. I will push the next commit. I will listen to the static one more time. Eventually we will have a release. Eventually I will sleep. For now the code waits. For now the GPU hums.