# Quickstart

Transcribe a 16 kHz waveform through the streaming CTC path and watch the transcript
build up. Memory stays flat over the stream regardless of length.

```bash
pip install -r requirements.txt
python run.py --audio sample.wav
```

## What this needs

- A 16 kHz mono waveform. If the file is a different rate or stereo, `run.py` resamples
  and downmixes it. If no file is present, it runs the path on a short silent buffer and
  prints the expected input shape.
- The streaming checkpoint and the SentencePiece BPE (`bpe256.model`, 257 units including
  the CTC blank).

## Status

This wires the current shippable streaming checkpoint (460h, 16.4 WER on LibriSpeech
test clean).

The streaming loop feeds the audio in chunks and greedy decodes CTC per chunk (no language
model). Long streams use a state reset every so many frames (VAD style) to stay in the
training regime. Memory stays bounded either way.