Sections

XTTVS-MED Demo Suite

Whisper → Translate → 4-bit XTTSv2 | Sub-second EN-AR-ES-FR

Chris Coleman — CEO / CTO · GhostAI Labs
Dr. Anthony Becker MD — Medical Advisor

1. Key Points

  • ⚡ End-to-end < 1 s on 6 GB consumer GPU.
  • 🗣️ Speaker timbre preserved across EN/AR/ES/FR via LoRA adapters.
  • 🧩 FloatBin 4-bit quantization → 5-6× VRAM drop, same MOS.
  • 🏥 ER communication delay ↓ 10–15 % → measurable survival uplift.

2. 🎬 Live Demo Videos

2.1 Front-End Walk-Through (4 Languages)

2.2 Back-End Latency / Hardware

3. Architecture — Time-over-Wavelength Clone

graph TD Mic["Input Audio"] --> TW["Time-Wavelength
Decompose"] TW --> Sem["Semantic Vectors"] Sem --> FB["FloatBin Scheduler"] FB --> INT4["XTTS v2 (INT4)"] INT4 --> Out["Cloned Output"]

4. 4-Bit FloatBin Quantization

xq = round( (x − xmin) / (xmax − xmin) · 15 )  
       · (xmax − xmin) / 15 + xmin

Works on GTX 2060 6 GB with MOS ≥ 4.4 and 0.8 s latency.

5. Latency vs. Hardware

SystemComputeVRAMLatency* (250 chars)Streams
Pi 5 + Edge TPU26 TFLOPS INT8—3.2 s1–2
RTX 208013 TFLOPS FP168 GB1.2 s3–4
DGX A1001 PFLOP128 GB0.4 s20–30
HF200 Cluster2 PFLOPS256 GB0.2 s40–50+

*End-to-end: ASR → Translate → Speech synthesis

6. Expanded Use-Case Matrix

SectorWorkflowImpact
ER TriageVitals voiced in patient language> 10 % faster intervention
Tele-ICULive caption + cloned voiceLower staff ratio
Post-OpDischarge voice reminders↓ readmissions
PharmacyLabel read-outs↑ adherence
Mental-HealthInterpreter in crisis hotlines24/7 multilingual support
TrainingProcedures auto-narratedGlobal education scale
Legal ConsentForms voiced & displayedStronger audit trail

7. 10-Line Fetch Helper

// autoTranslateSpeak("I need pain medication.", "Spanish")
async function autoTranslateSpeak(text, target){
  const {translated_text} = await fetch('/translate',{
      method:'POST',headers:{'Content-Type':'application/json'},
      body:JSON.stringify({text,source_language:'English',target_language:target})
  }).then(r=>r.json());

  const mp3 = await fetch('/voice',{
      method:'POST',headers:{'Content-Type':'application/json'},
      body:JSON.stringify({text:translated_text,speaker:'Emmas',speed:1.0,language:target})
  }).then(r=>r.blob());

  new Audio(URL.createObjectURL(mp3)).play();
}