rolandnsharp/oscillator-asr
automatic-speech-recognition model by rolandnsharp
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Model card & documentation
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A small English speech recogniser that transcribes while you speak, built for a handheld ARM computer (ClockworkPi uConsole). Text appears every 320 ms instead of after you stop, and the whole model runs faster than real time on one slow ARM core, from a single dependency-free C file. It is a research model with honest limits: accurate enough to dictate with on clean speech, well behind Whisper and production systems on accuracy. The point is the architecture and its cost. zt = c z(t-1) + xt with c = exp(-dt/tau + 2 pi i f dt). Frequencies and decay times are learned. No FFT, no convolution. Every 20 ms the bank's state (real, imaginary, energy) is the feature vector. each followed by a gated MLP. No attention: the state is a fixed size, so cost and memory per second of audio are constant, and output is available as the audio…
Read the full model card ↗ · Preview checked 2026-11-04T09:19:51.111Z
Inside the original model card — Document outline
- Oscillator streaming speech recogniser (10.4 M parameters, one C file)
- How it works
- Results
- Use
- Training
- Limitations
- Files
- Credits
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Model overview
rolandnsharp/oscillator-asr is a automatic-speech-recognition model repository published by rolandnsharp on Hugging Face. The source reports the c library.
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Model facts
- Task
- automatic-speech-recognition
- Library
- c
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-11-04T06:33:19.000Z
- Last modified
- 2026-11-04T06:35:27.000Z
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.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-04T06:53:18.793Z. Daily imports are snapshots, not real-time monitoring.
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