Campplus

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

--- license: apache-2.0 language: - zh - en pipeline_tag: audio-classification tags: - speaker-verification - speaker-diarization - FunASR - CAM++ library_name: funasr --- # 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 | ## Links - **GitHub**: [FunASR](https://github.com/modelscope/FunASR) - **Docs**: [modelscope.github.io/FunASR](https://modelscope.github.io/FunASR/)