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voice-clone-evaluator

Compare speaker embeddings and prompt fidelity to evaluate voice cloning quality.

Updated Jun 4, 2026
Search Tags:#audio processing#voice cloning#prompt fidelity#speaker similarity#voice quality
One-click install
npx skills add https://github.com/kngender5/hermes --skill voice-clone-evaluator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: voice-clone-evaluator
Source: https://github.com/kngender5/hermes/tree/main/skills/voice-clone-evaluator
Command: npx skills add https://github.com/kngender5/hermes --skill voice-clone-evaluator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires resemblyzer, speechbrain, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill assesses the quality of voice cloning by comparing the intended prompt with the generated output, and offers feedback to improve the process.

Core Features & Use Cases

  • Full Evaluation: Compares source and cloned voice, and output against the prompt for a comprehensive assessment.
  • Prompt Fidelity Check: Ensures the output aligns with the intended voice characteristics and style.
  • Speaker Similarity: Measures the similarity between the source voice and the cloned voice.
  • Use Case: Ideal for post-production of voice cloning where accuracy and consistency are critical.

Quick Start

Evaluate the voice cloning quality of the audio file 'output.wav' with the prompt 'Male, low baritone, calm measured pace'.

Frequently Asked Questions about voice-clone-evaluator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate voice cloning quality between a source audio and generated output?▼

Measure speaker similarity in voice cloning by comparing source and output speaker embeddings using Resemblyzer. The Skill calculates embedding distances to quantify how closely the cloned voice matches the original speaker's characteristics.

How does prompt fidelity checking work for audio processing?▼

Prompt fidelity checking ensures the cloned output aligns with intended voice characteristics described in the prompt. The Skill evaluates whether the generated audio matches attributes like tone and pace specified in the prompt text.

Do I need Resemblyzer and SpeechBrain to assess cloned voice similarity?▼

Yes, Resemblyzer and SpeechBrain are required to assess cloned voice similarity. Resemblyzer extracts speaker embeddings while SpeechBrain handles audio processing for the comparison scripts.

What's the best way to quantify voice cloning quality in post-production workflows?▼

The best way to quantify voice cloning quality in post-production is by comparing speaker embeddings and prompt fidelity via Python scripts. This approach provides comprehensive evaluation of source and cloned audio against expectations.

Can I use this voice quality evaluation for checking consistency across multiple cloned outputs?▼

Yes, this evaluation can check consistency across multiple cloned outputs by comparing each generated file against the source voice and prompt. It is ideal for post-production workflows where accuracy and consistency are critical.

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