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campplus

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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

python

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

Property	Value
Architecture	CAM++ (Class-Aware Multi-scale)
Embedding Dim	192
Sample Rate	16kHz

binant/campplus

CAM++

Quick Start

Features

Model Details

Links

binant/
campplus