ConwayResearch/Underdog-Woof
text-to-speech model by ConwayResearch
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Model card & documentation
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Underdog Woof is a small English text-to-speech model with two voices: Juno and Mira. It reads phone numbers, dates, prices and codes the way people say them, and it runs on a laptop CPU with nothing but numpy, from a single 40.6 MB file. Try it in your browser at underdog.ai/woof. Each voice reads "Please call me back at 415-555-0199 before 5:30 p.m. on Friday." (seed 1). More clips are in the samples folder, listed below. Woof comes in two sizes. This repo is the two-voice model. The one-voice model is the one that runs in your browser at underdog.ai/woof. The one-voice speed is plain PyTorch with its int8 weights at the default 16 steps; the two-voice speed is this repo's numpy runtime. Fish Audio Drama 3, for scale, is a 41.5 GB download and gets 1.89% wrong. Word error rate on Gradium TTS Hard Cases (English, 500 sentences), every…
Read the full model card ↗ · Preview checked 2026-11-08T09:35:33.747Z
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Model overview
ConwayResearch/Underdog-Woof is a text-to-speech model repository published by ConwayResearch on Hugging Face. The source reports the numpy library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- numpy
- Recent downloads (30 days)
- 10
- Cumulative likes
- 73
- Hugging Face trending score
- 72
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-05T19:07:08.000Z
- Last modified
- 2026-11-06T13:46:59.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-08T06:53:26.831Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.