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| .. | ||
| output | ||
| voices | ||
| generate_all.py | ||
| generate_samples.sh | ||
| README.md | ||
| robot_filter.py | ||
| robot_filter_light.py | ||
| robot_filter_v2.py | ||
Pokedex voice spike — scripts
De-risking spike for the Pokédex app's robotic voice output. Full pipeline: text -> TTS -> optional DSP "robot" filter -> mp3.
Files
generate_samples.sh— end-to-end driver: installs are documented at the top, then runs espeak-ng and Piper TTS, then the DSP filters, then converts everything to mp3. Run it from this directory (./generate_samples.sh).robot_filter.py— heavy/original robot filter: square-wave ring modulation, bitcrush (sample-and-hold + bit-depth reduction), narrow band-pass, hard drive. This is what "too robotic" was generated with.robot_filter_light.py— barely-there version: sine-wave ring mod at low mix, wide band-pass, mild soft-clip. Meant to add a hint of synthesized edge to an already-natural neural voice without disturbing cadence.robot_filter_v2.py— the current one: parameterized, takes anintensityargument from 0.0 (untouched) to 1.0 (full heavy filter) and interpolates ring-mod mix/carrier, bandpass width, bitcrush, and drive along that scale. Usage:python3 robot_filter_v2.py in.wav out.wav 0.45. This is the one to keep tuning going forward — texted intensity numbers ("try 0.6") map directly to its third argument.
Voice model
TTS engine is Piper — a small, fully offline neural TTS with real Android ports available, which matters for the app's "works with no signal" requirement.
The voice used is en_US-joe-medium.onnx, fine-tuned from Piper's stock
"lessac" voice on a CC0-licensed dataset (see MODEL_CARD if you unpack the
wheel) — no attribution/licensing issue to ship it.
How I got the model file in this sandbox: the sandbox's network
allowlist didn't reach huggingface.co, where Piper's official voices are
hosted, only package registries. I found a community-published PyPI wheel
(joe-us-piper-voice) that bundles the .onnx file directly, so a plain
pip install pulled it down. That's a workaround specific to this
sandbox — for the real project, get voices the normal way from Piper's
official releases/voice list, which gives you far more voice choices
(different speakers, accents, quality tiers) than this one bundled option.
What's still open
- Pronunciation of individual Pokémon species names hasn't been systematically checked — only "Pokémon," "Bulbasaur," "Charizard," "Pikachu" were tested. Expect to need a pass listening to all ~1000+ species names and hand-fixing the ones the phonemizer (espeak-ng, under Piper's hood) gets wrong, either by respelling in the source text or via espeak's phoneme-override escape syntax.
- Robot filter intensity (
robot_filter_v2.py'sintensityarg) needs to land wherever the actual desired "amount of robotic" ends up — currently parked at 0.45 pending feedback. - This whole pipeline is meant to run once, offline, over every dex entry ahead of time (batch pre-generation), not live on-device — see the earlier discussion in this conversation for why.