Can I test my own custom text with the voices?

Absolutely. The skill automatically checks your macOS clipboard for text to use during the audition; if the clipboard is empty, it falls back to a default passage.

Does this skill require specific hardware?

Yes, this skill is optimized for macOS on Apple Silicon (M-series chips) as it utilizes the MLX framework for high-performance speech synthesis.

What is the primary purpose of the Voice Quality Audition skill?

It is designed to help developers listen to, compare, and grade different Kokoro TTS voices on macOS to choose the best one for their automation or bot projects.

How does it handle voice selection updates?

After the audition, the skill can optionally update your mise.toml configuration file to set your preferred voice as the new default for English or Chinese TTS.

What happens if my Kokoro installation is broken?

The skill includes a preflight phase that runs a health check on the Kokoro environment, ensuring that the virtual environment, Python version, and MLX audio modules are working before attempting an audition.

Kokoro TTS Voice Audition

Name: Kokoro TTS Voice Audition
Author: terrylica

byterrylica

•

Ciencia de Datos y ML

Auditions and compares Kokoro TTS voice quality on macOS to determine the optimal voice for speech synthesis workflows.

The Voice Quality Audition skill provides an automated framework for testing and grading Kokoro TTS voices specifically on Apple Silicon hardware. It streamlines the process of evaluating speech synthesis by running sequential auditions of all available voices using either custom clipboard text or a default passage. Designed for developers building voice-enabled applications, it includes built-in health checks for the MLX-based Kokoro engine, interactive feedback loops for voice grading, and the ability to automatically update system configuration files like mise.toml based on user preference.

Características Principales

01Support for custom audition passages via macOS clipboard integration

02Interactive voice grading and selection feedback loop

03Sequential auditioning of the full Kokoro voice catalog

04Direct configuration updates for TTS_VOICE environment variables

05Automated Kokoro engine health and environment verification

0640 GitHub stars

Casos de Uso

01Selecting the highest quality voice for automated Telegram bot responses

02Side-by-side comparison of male and female voices for project-specific branding

03Evaluating voice performance and grading after a Kokoro engine upgrade

Características Principales

01Support for custom audition passages via macOS clipboard integration

02Interactive voice grading and selection feedback loop

03Sequential auditioning of the full Kokoro voice catalog

04Direct configuration updates for TTS_VOICE environment variables

05Automated Kokoro engine health and environment verification

0640 GitHub stars

Casos de Uso

01Selecting the highest quality voice for automated Telegram bot responses

02Side-by-side comparison of male and female voices for project-specific branding

03Evaluating voice performance and grading after a Kokoro engine upgrade