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d2f59ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | """End-to-end WAV -> RTTM speaker diarization."""
from __future__ import annotations
import time
from pathlib import Path
from .feature import wav_to_features
from .postprocess import to_activity, to_segments, write_rttm
from .session import StreamingDiarizer
def diarize(wav_path, model_path, rttm_path=None, max_speakers=None,
threshold=0.5, median=11, progress=None):
"""Run diarization on one recording.
Args:
wav_path: input audio (any sample rate; resampled to 8 kHz).
model_path: ``streaming_step.axmodel`` (board) or ``.onnx`` (host).
rttm_path: optional output path; defaults to ``<wav>.rttm``.
max_speakers: keep only the first N speaker channels (of 8).
threshold: activity threshold on the sigmoid.
median: median filter length in frames (11 matches upstream).
progress: print progress every N frames when set.
Returns a dict with ``segments``, ``rttm``, ``logits`` and timing.
"""
wav_path = Path(wav_path)
features, duration = wav_to_features(wav_path)
runner = StreamingDiarizer(model_path)
start = time.time()
logits = runner.run(features, progress=progress)
elapsed_ms = (time.time() - start) * 1000.0
activity = to_activity(logits, max_speakers=max_speakers,
threshold=threshold, median=median)
segments = to_segments(activity, duration=duration)
if rttm_path is None:
rttm_path = wav_path.with_suffix('.rttm')
write_rttm(segments, rttm_path, uri=wav_path.stem)
return {
'segments': segments,
'rttm': str(rttm_path),
'logits': logits,
'speakers': int(activity.any(axis=0).sum()),
'frames': int(len(features)),
'emitted_frames': int(len(logits)),
'duration_sec': duration,
'latency_ms_total': elapsed_ms,
'latency_ms_per_frame': elapsed_ms / max(len(features), 1),
'rtf': (elapsed_ms / 1000.0) / duration if duration else None,
'backend': runner.backend,
}
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