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trunk-reporter

Open-source tools for P25 trunked radio transcription and monitoring.

We build speech recognition models and infrastructure for public safety radio -- law enforcement, fire, EMS, public works, transit, and more. Everything from real-time transcription to edge deployment on a Raspberry Pi.

Models

IMBE-ASR -- Speech Recognition from Vocoder Parameters

Skip audio reconstruction entirely. ASR directly from P25 IMBE codec parameters (4.4 kbps). 1.9% WER on LibriSpeech-IMBE with beam search.

Model Params WER Use Case
imbe-asr-large-1024d 290M 1.9% (beam) Best accuracy, server/desktop
imbe-asr-base-512d 48.6M 18.9% (greedy) Edge deployment (Pi 5, 15x RT)
imbe-asr-base-512d-p25 48.6M -- Real P25 dispatch fine-tuned

All models available in SafeTensors, ONNX fp32, and ONNX int8/uint8 for edge deployment. The 290M model runs at 3.6x real-time on a Raspberry Pi 5 via a 70KB C binary.

View collection | GitHub

Qwen3-ASR P25 -- Fine-tuned Audio ASR

Model Base Use Case
qwen3-asr-p25-0.6B Qwen3-ASR 0.6B P25 audio transcription, pseudo-labeling

Fine-tuned on P25 dispatch audio for conventional audio-based ASR. Used in our pseudo-labeling pipeline alongside Whisper large-v3.

GitHub

Coming Soon

  • IMBENet -- Neural IMBE vocoder for high-quality P25 audio reconstruction

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datasets 0

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