What is barge-in detection?

Barge-in detection is a capability that allows the AI to recognize when a user has started speaking while the AI is still talking, enabling the system to stop and listen immediately.

Can I use this for book narration systems?

Yes, this skill includes patterns specifically suited for high-quality audio output and storytelling flow, including handling background noise and emotional nuance.

How does this skill help with latency issues?

It provides a 'latency budget' framework and implementation patterns to keep response times under the 800ms threshold required for a conversation to feel human and natural.

What is the main difference between S2S and Pipeline architectures?

S2S (Speech-to-Speech) provides the lowest latency and preserves emotional nuance by processing audio directly, while Pipeline (STT→LLM→TTS) offers more granular control over the logic at each processing stage.

Voice Agents Architect

Name: Voice Agents Architect
Author: claudiodearaujo

byclaudiodearaujo

•

Data Science & ML

Architects high-performance conversational voice interfaces with a focus on sub-800ms latency and natural human-AI interaction.

The Voice Agents skill empowers developers to design and deploy production-grade voice interfaces that bridge the gap between human speech and AI processing. It provides deep technical guidance on the two primary voice architectures—Speech-to-Speech (S2S) for minimal latency and Pipeline (STT→LLM→TTS) for granular control. By focusing on the 'physics of latency' and critical features like barge-in detection and semantic voice activity detection (VAD), this skill ensures AI conversations feel fluid, responsive, and natural, avoiding the awkward delays typical of standard LLM implementations.

Key Features

01Advanced Voice Activity Detection (VAD) and turn-taking logic

02Barge-in detection for natural conversation interruptions

03Spoken format prompting and response length constraints

04Conversational flow and emotional nuance optimization

051 GitHub stars

06Latency-optimized architecture selection (S2S vs. Pipeline)

Use Cases

01Creating interactive voice interfaces for hands-free accessibility

02Developing AI-driven book narration and storytelling systems

03Building ultra-low latency customer support voice bots

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro voice-agents

For use in Claude.ai and ChatGPT

Download Skill