voiceown-base-gguf

VoiceOwn — Stutter-Aware Intelligence

VoiceOwn is a specialized adaptation of Gemma 4 E2B, engineered to bridge communication gaps for individuals who stutter.

Unlike conventional ASR systems that transcribe every disfluency, this model performs intent-focused speech understanding—filtering repetitions, prolongations, and blocks to produce clean, intended language.

✨ Core Capabilities

• Stutter-Awareness
  Handles repetitions, prolongations, and speech blocks natively.

• Intent Extraction
  Identifies the speaker’s intended words rather than literal disfluent output.

• Multimodal Intelligence
  Uses Gemma 4’s audio encoder to interpret timing, tone, and structure of speech.

📦 Model Weights (GGUF)

🧪 Training Insights

• Objective: Intent-accurate output from disfluent speech
• Dataset: naazimsnh02/voiceown-stutter-asr
• Samples: 2,850 real-world recordings
• Epochs: 2
• Training Loss: 1.1124
• Hardware: NVIDIA A100-SXM4
• Training Time: ~60 minutes

⚙️ Usage

Run with llama.cpp multimodal CLI:

./llama-mtmd-cli \
  -m voiceown-base-Q4_K_M.gguf \
  --mmproj gemma-4-e2b-it.BF16-mmproj.gguf \
  --audio user_clip.wav \
  -p "Capture the speaker's intended words, ignoring any stutters."