CAM++

Speaker Verification & Diarization — identify and distinguish speakers in audio.

CAM++ is a speaker embedding model used for speaker verification (is this the same person?) and speaker diarization (who spoke when?).

Quick Start

from funasr import AutoModel

# Speaker diarization as part of ASR pipeline
model = AutoModel(
 model="funasr/paraformer-zh",
 hub="hf",
 vad_model="funasr/fsmn-vad",
 punc_model="funasr/ct-punc",
 spk_model="funasr/campplus",
 device="cuda",
)
result = model.generate(input="meeting.wav")
# Each sentence has a speaker label
for sentence in result[0]["sentence_info"]:
 print(f"[Speaker {sentence['spk']}] {sentence['text']}")

Features

• Speaker embedding extraction
• Speaker verification (same/different speaker)
• Speaker diarization (multi-speaker segmentation)
• Works with FunASR pipeline via spk_model parameter

Model Details

Links

• GitHub: FunASR
• Docs: modelscope.github.io/FunASR