text-to-speech

The text-to-speech skill is designed to convert written text into natural, high-quality audio using the Kokoro TTS engine. It addresses the need for real-time, secure, and resource-efficient speech synthesis in applications where voice output is required. By providing a structured workflow and performance-aware design, the skill ensures reliable generation of audio content while mitigating risks associated with inappropriate content or excessive resource consumption. This makes it particularly suitable for voice assistants and other interactive systems requiring responsive and customizable speech output.

Key features of this skill include voice customization, prosody control, and streaming synthesis for low-latency audio output. It supports multiple voice configurations and allows developers to optimize audio format, caching, and chunked streaming to reduce delays. Additionally, it incorporates secure handling practices such as input validation, content filtering, and temporary file cleanup to prevent misuse or data leakage. Test-driven development (TDD) principles guide implementation, ensuring robust audio quality, correct sample rates, and proper error handling.

Primary use cases involve providing responsive, natural-sounding voice feedback in digital assistants like JARVIS, enabling offline text-to-speech capabilities without cloud dependency, and supporting multiple voices for different contexts. Target users include developers integrating TTS into interactive applications, researchers experimenting with voice synthesis, and system architects seeking reliable, secure, and performance-optimized speech generation solutions.