39 lines
1.5 KiB
Markdown
39 lines
1.5 KiB
Markdown
# Optional Speaker Diarization
|
|
|
|
The direct-protocol MVP keeps speaker diarization disabled by default. Enable
|
|
anonymous Community-1 speaker labels with `--diarization auto`, `gpu`, or
|
|
`cpu`:
|
|
|
|
```bash
|
|
python3 scripts/run_mvp_meeting.py meeting.wav \
|
|
--whisper-model /path/to/ggml-model.bin \
|
|
--diarization auto
|
|
```
|
|
|
|
Native mode (the default runtime) requires a compatible local PyTorch and
|
|
`pyannote.audio==4.0.7`. For isolated ROCm/CUDA environments, select the
|
|
container runtime and provide its image and hardware arguments explicitly:
|
|
|
|
```bash
|
|
python3 scripts/run_mvp_meeting.py meeting.wav \
|
|
--whisper-model /path/to/ggml-model.bin \
|
|
--diarization gpu \
|
|
--diarization-runtime container \
|
|
--diarization-container-image IMAGE \
|
|
--diarization-container-arg=--device=/dev/kfd \
|
|
--diarization-container-arg=--device=/dev/dri \
|
|
--diarization-container-arg=--group-add \
|
|
--diarization-container-arg=video
|
|
```
|
|
|
|
The container receives `HF_TOKEN` by environment-variable name only. It mounts
|
|
the source audio and repository read-only and writes diarization artifacts into
|
|
the current run directory. Meeting Lab loads mono 16 kHz PCM16 WAV with
|
|
Python's `wave` module and sends an in-memory tensor to pyannote, avoiding its
|
|
torchcodec file decoder.
|
|
|
|
Anonymous `SPEAKER_XX` labels are aligned to Whisper segments by maximum
|
|
temporal overlap with Community-1 exclusive diarization. The original Whisper
|
|
transcript is preserved; the derived transcript under `diarization/` is used as
|
|
the unchanged direct-protocol generator's input.
|