LocalClaw/TTS/VeriSpoof-Plus
Local audio-language model

VeriSpoof-Plus

Catalogue summary: Local audio-language model for speech deepfake detection, source comparison and explanations of recording conditions. Plus uses a larger training mixture than VeriSpoof-Base; upstream reports improved detection and source verification on its published evaluations. Returns text, scores and synthetic-speech localization for non-commercial research.

Repository editorial metadata; verify comparative claims in the linked upstream material.

GPU recommendedspeech deepfake detection and source analysis1 languagesCC-BY-NC-4.0; upstream MiniCPM5 and Qwen3-ASR components Apache 2.0
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Open model filesModel weights and official local setupOpen in UnslothLaunches Unsloth Desktop on this modelOpen on Hugging FaceFiles, licence and model cardCheck my machineOptional: verify the fit with your saved hardware

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Catalogue quality
Not rated
Catalogue speed
Not rated
Model size
2.9B parameters (author); 6.362 GB safetensors
Voices
N/A: text and detection scores; no speech synthesis, cloning or streaming

Can VeriSpoof-Plus run locally?

VeriSpoof-Plus can run locally for speech deepfake detection and source analysis over the first 8 seconds of a recording. Use the verified setup options on this page; no terminal command is required to choose the right path.

CC-BY-NC-4.0; upstream MiniCPM5 and Qwen3-ASR components Apache 2.0 license. Review upstream restrictions before commercial use.

Upstream source
audio-languageaudio-forensics

Model details

Type
Local audio-language model
Family
verispoof
Latency
not rated
Formats
pytorchtransformerssafetensors
Languages
en
Context
Official model card and bundled code/README.md document a CUDA GPU with about 12 GB VRAM; this is upstream configuration guidance, not a measured universal minimum or system-RAM floor. English prompts and answers are documented; en/zh/multilingual metadata does not establish a validated speech-language list. The bundled PyTorch runtime resamples to 16 kHz, analyzes only the first 8 seconds and repeats shorter clips. Optional vLLM accelerates reasoning only. Plus was trained on approximately 4.4 million utterances; Base uses official training splits only (approximately 0.38 million). Published evaluation improvements are author-reported, not LocalClaw measurements. No speech synthesis, voice cloning or live streaming. Non-commercial research; scores are not definitive authenticity proof. No local inference test performed. Sources: huggingface.co/AustinXiao/VeriSpoof-Plus, code/README.md, code/verispoof/inference.py and NOTICE; github.com/swagshaw/verispoof.

Install locally

01
Check runtimeConfirm the backend supports pytorch, transformers, safetensors on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • speech deepfake detection and source analysis
  • GPU recommended local workflows
  • audio-language, audio-forensics

Watch before shipping

  • Validate pronunciation, latency and artifacts with your own voice samples.
  • Review the upstream license and acceptable-use notes.
  • Benchmark on your target CPU, Apple Silicon or GPU setup.

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