ai-voice-cloning

What This Skill Does

The ai-voice-cloning skill provides a powerful interface for high-fidelity AI text-to-speech (TTS) and voice synthesis. By integrating with the inference.sh CLI, this skill allows users to transform text into natural-sounding speech across a variety of models including Kokoro TTS, DIA, and Higgs. It is designed for creators, developers, and researchers who need high-quality audio output for video production, storytelling, and accessibility features without relying on cloud-heavy proprietary black-box services. The system supports a diverse library of voice IDs, covering various genders, accents, and styles to ensure the generated output aligns perfectly with the intended context.

Installation

To integrate this capability into your workflow, ensure the inference.sh CLI is configured on your system. Run the following command via OpenClaw:

clawhub install openclaw/skills/skills/okaris/ai-voice-cloning

Once installed, you can trigger voice synthesis tasks directly through your agent interface. The skill leverages local binary execution, meaning that after the initial setup, voice processing is efficient and reliable.

Use Cases

This skill is highly versatile and serves several professional domains. Use it for professional voiceovers in video marketing, where clarity and tone are paramount. It is an essential tool for audiobook narration, allowing for fine-tuned control over speech speed and character voices. Content creators can utilize it for podcast hosting or intros, ensuring consistent audio quality. Furthermore, it is ideal for accessibility tools, converting written articles or documentation into spoken audio, and for building interactive AI characters in conversational applications.

Example Prompts

1. "Generate a professional voiceover for my new product video using the af_nicole voice at 1.0 speed: 'Discover the future of workspace efficiency.'"
2. "Read the following text like an audiobook narrator using the bf_emma voice: 'The old clock struck twelve as the traveler approached the gates.'"
3. "Create a friendly podcast intro for a tech show using the am_adam voice: 'Welcome back everyone, today we are exploring the impact of generative AI.'"

Tips & Limitations

To achieve the best results, always select the model that matches your intended use case. For professional narration, Higgs and Kokoro offer superior clarity, whereas DIA is better suited for casual or conversational dialogue. Adjust the speed parameter to suit the pacing of your script; lower speeds (e.g., 0.9) are generally better for dramatic storytelling, while slightly higher speeds (1.1) work well for instructional or corporate content. Note that this skill requires access to the inference.sh CLI; ensure your environment meets the dependency requirements. While the voices are highly realistic, they may occasionally struggle with complex foreign technical terms or non-standard proper nouns.