README.md

metadata

license: apache-2.0
language:
  - zh
  - en
pipeline_tag: audio-classification
tags:
  - speaker-verification
  - speaker-diarization
  - FunASR
  - CAM++
library_name: funasr

⭐ Powered by FunASR — please give us a GitHub Star!

This model is part of the FunASR ecosystem — one industrial-grade open-source toolkit for ASR · VAD · punctuation · speaker diarization · emotion / event · LLM-ASR. A Star really helps the project (and keeps you updated):

🌟 FunASR · 🌟 SenseVoice · 🌟 Fun-ASR · 🌟 FunClip

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

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

Links

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