Hiring: TTS Engineer for Emotionally Expressive Voice Synthesis (Paid, Precision Role)

[SunzGawd]

We’re seeking a precision-oriented TTS engineer for a real-world voice deployment focused on emotional fidelity and behaviorally adaptive voice output. This is a paid engagement under a well-defined execution protocol.

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### ✅ Ideal Experience

• Fine-tuning or adapting TTS models for expressiveness/emotion
  (e.g., OpenVoice v2, Bark, Tortoise, Coqui)
• Working knowledge of phoneme alignment tools
  (e.g., Montreal Forced Aligner or equivalent)
• Familiarity with prosody control, speaker conditioning, or multi-take variation
• Experience with emotion-tagged audio datasets
• Ability to deliver under constraint, this is about focus and fidelity, not bulk

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### 🛠️ Preferred Tools / Frameworks

• OpenVoice v2 (primary framework in use)
• Montreal Forced Aligner (MFA) or equivalent
• PyTorch, HuggingFace, Python, FFmpeg, SoX

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### 🎯 Scope

• You’ll work with a curated emotion-tagged dataset across 3-take variations
• Task: fine-tune emotional modulation and prosody on top of OpenVoice v2
• Deliver adaptive voice outputs aligned to structured expressive targets

❗ This is not generic voice cloning or API-wrapping.
We're building deep emotional control for real agent-based deployment.

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### ⏱️ Execution Cap (Important)

The entire fine-tuning phase is capped at 12 hours total.
This is not an evaluation sprint, it’s the actual execution scope.
The asset stack and alignment framework are already pre-built.
We’re looking for clarity, decisiveness, and technical precision.

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### 📩 How to Apply

• Check my GitHub profile bio, contact email is listed there.
• Include:
  • Brief overview of relevant experience
  • Any GitHub/audio/demo links (if available)
  • Your availability over the next 4–6 weeks

We're moving quickly and looking for someone who can own this piece with control and confidence.

Thanks.
Sunz

[GHUFRAN-HYDER]

My demo video showcases a complete real-time voice AI system I built, demonstrating my foundation work in precision TTS engineering:

Multi-speaker TTS synthesis with speaker conditioning (VITS/OpenVoice architecture)
Real-time voice activity detection and adaptive conversation flow
Dynamic speaker switching and prosodic control implementation
WebSocket-based live processing for agent deployment scenarios
System-level integration of ASR, LLM, and TTS components

This demonstrates my research background and implementation experience in TTS systems. Given this foundation work with VITS architecture (which OpenVoice v2 extends) and my hands-on experience with speaker conditioning and prosodic control, I'm well-positioned to adapt to OpenVoice v2 and deliver the emotional fidelity and behavioral adaptation requirements for your project - building the deep emotional control layer on proven technical infrastructure.

https://youtu.be/nGEP4a5PkNI?si=5cWJ1DO5JD0vfxV0