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Support known speaker counts in MSDD diarization #379

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Support known speaker counts in MSDD diarization #379

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10 changes: 7 additions & 3 deletions diarization/msdd/msdd.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
import tempfile
import wave

from typing import Union
from typing import Optional, Union

import torch

Expand All @@ -16,7 +16,10 @@ class MSDDDiarizer:
def __init__(self, device: Union[str, torch.device]):
self.model: NeuralDiarizer = NeuralDiarizer(cfg=create_config()).to(device)

def diarize(self, audio: torch.Tensor):
def diarize(self, audio: torch.Tensor, num_speakers: Optional[int] = None):
if num_speakers is not None and not 1 <= num_speakers <= 8:
raise ValueError("num_speakers must be between 1 and 8")

with tempfile.TemporaryDirectory() as temp_path:
pcm = (audio.cpu().numpy() * 32768).clip(-32768, 32767).astype("int16")
with wave.open(os.path.join(temp_path, "mono_file.wav"), "wb") as wf:
Expand All @@ -32,6 +35,7 @@ def diarize(self, audio: torch.Tensor):
"duration": None,
"label": "infer",
"text": "-",
"num_speakers": num_speakers,
"rttm_filepath": None,
"uem_filepath": None,
}
Expand All @@ -42,7 +46,7 @@ def diarize(self, audio: torch.Tensor):
self.model._initialize_configs(
manifest_path=manifest_path,
max_speakers=8,
num_speakers=None,
num_speakers=num_speakers,
tmpdir=temp_path,
batch_size=24,
num_workers=0,
Expand Down