GGUF quantizations of the CED family (Consistent Ensemble Distillation, Xiaomi) - SOTA-tier audio-tagging models that classify everyday sounds (baby cry, footsteps, glass breaking, alarms, dog bark,...) into the 527-class AudioSet ontology. These files run with ced.cpp, a standalone C++/ggml port (no Python, no PyTorch at inference), and with LocalAI via the ced backend. Converted from the mispeech/ced- checkpoints (Apache-2.0). CED is a plain AST/DeiT Vision Transformer over a log-mel spectrogram; the port is numerically equal to the PyTorch reference. One self-contained GGUF per size + quant (config, 527 labels, and the mel filterbank/window are all embedded). Pick by your accuracy/size…
campplus is an open-weight model for audio classification from losCrossos, released under Apache License 2.0. Its published files total 28.5 MB.
This model is part of the FunASR ecosystem — one industrial-grade open-source / event · LLM-ASR. A Star really helps the project (and keeps you updated): Speaker Verification & Diarization — identify and distinguish speakers in audio.
Parameters—
Context—
Weights28.0 MB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—
Model Card
By losCrossos, published under apache-2.0, revision 185ffb07eb4d.
This model is part of the FunASR ecosystem — one industrial-grade open-source / event · LLM-ASR. A Star really helps the project (and keeps you updated): 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?). - Works with FunASR pipeline via spkmodel parameter
Read losCrossos's full model card
### Powered by [FunASR](https://github.com/modelscope/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**](https://github.com/modelscope/FunASR) · [** SenseVoice**](https://github.com/FunAudioLLM/SenseVoice) · [** Fun-ASR**](https://github.com/FunAudioLLM/Fun-ASR) · [** FunClip**](https://github.com/modelscope/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_modelparameter
Model Details
| Property | Value |
|---|---|
| Architecture | CAM++ (Class-Aware Multi-scale) |
| Embedding Dim | 192 |
| Sample Rate | 16kHz |
Links
- GitHub: FunASR
- Docs: modelscope.github.io/FunASR
Identity and Version
- Repository
- loscrossos/campplus
- Publisher
- losCrossos
- Task
- Audio classification
- Modality
- Audio
- Library
- funasr
- Parameters
- Not stated by the source
- Languages
- zh, en
- Revision
- 185ffb07eb4d078e778815e2534d5edec1175e76
- First published
- 2026-10-13
- Last updated
- 2026-10-13
Files and Weights
8 files, 28.5 MB in total. The weights are 1 file totalling 28.0 MB in bin.
Weights1 file · 28.0 MB
Configuration2 files · 1.1 KB
Documentation2 files · 3.5 KB
Other2 files · 470.0 KB
Repository1 file · 1.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| campplus_cn_common.bin | Weights | 28.0 MB | 3388cf5fd349 |
| config.yaml | Configuration | 537 B | — |
| configuration.json | Configuration | 581 B | — |
| README.md | Documentation | 2.0 KB | — |
| quickstart.md | Documentation | 1.5 KB | — |
| dingding.jpg | Other | 184.0 KB | — |
| structure.png | Other | 286.0 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 28.0 MB
Download from losCrossos
Released by losCrossos through its official repository on Hugging Face. Read the license.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 28.0 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About campplus
Can I use campplus commercially?
Yes. campplus is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
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