# RECCoon

A minimal Android app that records uncompressed WAV audio and transcribes it
on device.

- **Format:** 44.1 kHz, 16-bit PCM (stereo when the device supports it), no compression
- **Controls:** one big round button — tap to start recording (timer starts), tap again to stop and save
- **Meters:** live scrolling waveform plus left/right peak level meters with a clip indicator while recording
- **Mono switch:** optionally record a single channel (half the file size)
- **Markers:** place labelled cue points while recording; they are embedded in the WAV (`cue ` + `LIST/adtl`) and shown in the player
- **Silence:** optional Do Not Disturb total silence (no notifications, no vibration) while recording
- **Recordings list:** scrollable list at the bottom of the main screen, newest first
- **Player:** scrubber, ±10 s jumps, speed control, delete / rename / share / export, no autoplay
- **Transcription:** on-device, offline speech recognition with
  [sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx) using multilingual
  Whisper — works with **English and Italian**
- **Name:** RECCoon · **by** wuhei · **version** 1.4.0-alpha
- **Icon:** raccoon with a microphone

## Requirements

- Android 8.0 (API 26) or newer, arm64-v8a or x86_64
- `RECORD_AUDIO` permission
- On Android 9 and older, `WRITE_EXTERNAL_STORAGE` is also requested
- Internet access the first time a transcription model is downloaded

## Build

```sh
./gradlew :app:assembleDebug      # debug APK
./gradlew :app:assembleRelease    # release APK (signed with the debug key)
./gradlew :app:testDebugUnitTest  # JVM unit tests
```

Outputs:

- `app/build/outputs/apk/debug/app-debug.apk`
- `app/build/outputs/apk/release/app-release.apk`

A prebuilt copy is available at `dist/RECCoon-1.4.0-alpha.apk`. Note that the
sherpa-onnx AAR in `app/libs/` and the APK in `dist/` are **not** tracked in
git because they are large; see `TODO.md`.

## Recording

- `WavRecorder` uses `AudioRecord` (MIC source) to capture 16-bit PCM at
  44100 Hz into a temporary file, then rewrites a correct 44-byte RIFF/WAVE
  header when recording stops. It uses stereo when available and falls back to
  mono, and reports per-channel peak levels to the UI.
- `RecordingService` is a microphone-typed foreground service started while
  recording, so capture continues when the app is in the background.
- `MainActivity` handles the runtime permissions, the timer, the level meters
  and copying the finished file into Downloads. On Android 10+ this uses
  `MediaStore`; on older versions it writes directly to the public Downloads
  directory and notifies the media scanner.
- Files are named `reccoon-YYYY-MM-DD-HHMMSS-XXXXX.wav`, where `XXXXX` is a
  persistent 5-digit progressive counter.

## Waveform, meters and markers

- `LevelMeterView` draws a two-channel peak meter (dBFS scale) with a decaying
  peak hold and a red `CLIP` warning when a sample reaches full scale.
- `WaveformView` draws a scrolling min/max waveform of the left/mono channel;
  clipped columns are drawn in red.
- The **Mark** button (enabled while recording) adds a labelled cue point at the
  current position. Markers are written into the WAV as standard `cue ` and
  `LIST/adtl` chunks (readable by Audacity/Reaper) by `WavRecorder`, and also
  stored as a JSON sidecar by `MarkerStore`. The player reads the sidecar and
  falls back to `WavMarkers`, which parses the embedded chunks.

## Recordings list and player

- The main screen shows a scrollable list of recordings, newest first. Tapping a
  row opens `PlayerActivity`.
- `PlayerActivity` plays a file with the platform `MediaPlayer`, a scrubber
  (`SeekBar`), ±10 s jumps and a playback speed control (0.5×–2×). Playback does
  **not** start automatically.
- Library actions: **Share** (FileProvider on Android 9 and older), **Rename**
  (MediaStore or file), **Export** (writes `.txt` and `.srt` to Downloads) and
  **Delete** (removes the WAV and its sidecars).
- Transcript words are clickable: tapping a word seeks the player to it. Word
  timings come from Whisper token timestamps when available, otherwise the
  segment is divided between its words.

## On-device transcription

- `TranscriptionEngine` streams the WAV, resamples it to 16 kHz and segments it
  with Silero VAD, then decodes each speech segment with a multilingual Whisper
  model through sherpa-onnx. Streaming keeps memory bounded for long
  recordings (offline Whisper only handles 30 s at a time).
- `ModelRepository` downloads the models on first use into app-private storage:

  | Model | Size | Notes |
  |---|---|---|
  | Whisper tiny (int8, multilingual) | ~99 MB | faster, lower accuracy |
  | Whisper base (int8, multilingual) | ~154 MB | default, better Italian |

  Both include the small Silero VAD model (~0.6 MB). Files come from the
  sherpa-onnx Whisper model repos on Hugging Face and the sherpa-onnx GitHub
  release.
- Language can be forced to English (`en`) or Italian (`it`), or left on
  **Auto detect**.
- Transcripts are stored as JSON sidecars in app-private storage
  (`filesDir/transcripts/<recording>.json`).

## Native libraries and APK size

The APK bundles the sherpa-onnx/onnxruntime native libraries for `arm64-v8a`
and `x86_64`, so it is around 72 MB. Removing `x86_64` from the `abiFilters`
in `app/build.gradle.kts` roughly halves the APK size for phone-only builds.