I moved here a few months ago- I need to know what's the best donut place in town. I don't mean those classic crispy creme donuts; I want those gourmet artisan donuts that have ingredients I can't even pronounce and pack enough calories to kill a horse. It needs to be so delicious that I lose touch with reality and I get pulled over for DUI as a result. It should change my life. What do you suggest?
I haven't had beef wellington in over a decade. It's time to change that- what's the best place in/around Kanata for an amazing beef wellington?
I've tried 5 different shops now- the ones recommended here, and they all keep refusing service due to already having the parts to repair with. Is there any shop in or near town that will install customer supplied parts? (Brake pads)
They no longer have records of my phone, email, nothing. Can't log into my account as it no longer exists, email bounces as I "don't have an account" with them. Need some help from a human!
I’ve been working on a tool called Derpy Turtle: The Kokoro Trainer. It started as a random-walk experiment for Kokoro voices, but it has grown into its own thing: a Windows GUI for creating better local voice outputs by combining Kokoro voice search with RVC voice conversion.
The short version:
Kokoro is good at generating speech. RVC is good at matching a target voice. Derpy Turtle connects the two.
The app lets you:
- Load a target voice clip.
- Search/refine Kokoro `.pt` voices against that target.
- Train an RVC model from your target audio.
- Generate Kokoro speech.
- Automatically pass the output through your trained RVC model.
- Save the final converted `_rvc.wav`.
The important lesson I learned is that chasing a super high Kokoro similarity score alone is not enough. I was stuck around the low/mid 80% range even after very long runs. The output improved, but it still did not sound close enough. The better approach was to use Kokoro as the clean speech source, then let RVC handle the final voice identity.
So the current workflow is:
Train an RVC model from clean target audio.
Run a short Kokoro search/refinement to get stable speech.
Enable “Use Latest RVC”.
Generate the line.
Listen to the `_rvc.wav`, not just the optimizer score.
The GUI has presets, queue management, ETA logging, extra target audio support, per-audio transcript mapping, CUDA support, and a launcher `.exe` that handles first-time setup.
A few practical notes:
- You need clean training audio. A smaller clean dataset beats a larger noisy one.
- RVC helps with timbre/identity, but it does not magically fix bad pacing or pronunciation.
- The Kokoro similarity score is pre-RVC, so the final converted audio can sound much better even if the score does not change.
- CUDA makes a huge difference. On my RTX 3060, GPU mode cut one run from roughly 26 hours on CPU to about 4 hours.
It's 100% free for non-commercial use. Personal/research use is allowed, but anyone wanting commercial use would need to contact me.
The goal is to make local voice experimentation more accessible. I made everything as user-friendly as possible. I wanted something where a non-technical user could run an .exe, load target audio, train/refine, and actually get usable output without manually wiring together a bunch of tools.
I've added this process to my game here, if anyone wants to experience it in practice. All the voices are trained using this trainer.
Enjoy!
Just came back from having my main ground team wiped, twice, due to these ~200hp Sebillians that regen ~50hp per turn. I'm able to take down one with most my team, but once there are 2-3 of them, my teams just get slaughtered. There needs to be a way to deal more damage short term, or preferably negate their heal. Pretty disappointed this was missed during early access; my run is over as a result.