Hush vs Persona.js: Detailed Comparison

Overview

Hush is an open-source noise suppression model by Weya AI, designed to clean real-time call audio by removing background noise and competing voices. It processes audio frames in under 1 ms on CPU, making it ideal for voice AI agents, ASR systems, and call centers. Trained on over 10,000 hours of real-world noisy audio, Hush ranks among the top speech-enhancement models on Hugging Face.

Persona.js is a lightweight, open-source AI chat UI library by Runtype. It is framework-free, backend-agnostic, and WebMCP-native, allowing agents to discover and execute tools exposed by the parent page. Persona supports floating, docked, or fullscreen layouts, streaming chat, voice, and theming, and can be integrated via npm or a simple script tag.

Feature Comparison

FeatureHushPersona.js
Primary FunctionReal-time noise suppression for voice AI callsLightweight AI chat UI library for websites
Target AudienceVoice AI developers, call centers, BFSI teamsWeb developers building AI assistants, copilots, or chat widgets
DeploymentCloud or data center (model size ~8 MB)Client-side via npm or script tag, any backend
Real-time PerformanceProcesses 10 ms audio in <1 ms on CPUStreaming SSE with pluggable parsers
Integration ComplexitySlots into existing Voice AI stackMinimal setup: import, mount, point to SSE endpoint
Open SourceYes (open-source model)Yes (open-source library)
Key DifferentiatorFocuses on cleaning noisy audio for ASRWebMCP-native, agents discover page tools

Pricing

Hush is free and open-source. Weya AI offers a 2-week pilot for enterprise evaluation, where they implement the model in one workflow and measure lift before full rollout.

Persona.js is free and open-source. The Runtype CLI and proxy services may have separate pricing, but the core library is freely available under an open-source license.

Pros and Cons

Hush

Pros:

  • Real-time CPU processing, no GPU needed
  • Trained on 10,000+ hours of real noisy audio
  • Top-5 on Hugging Face Audio-to-Audio leaderboard
  • Handles overlapping speakers and tough environments
  • Lightweight model (8 MB)

Cons:

  • Limited to audio enhancement only
  • Requires integration with existing Voice AI stack
  • Not a standalone chat or UI solution

Persona.js

Pros:

  • Framework-agnostic, works with any stack
  • WebMCP-native for agentic tool discovery
  • Shadow DOM isolation prevents style leaks
  • Multiple layout modes: floating, docked, fullscreen
  • Extensive demo and integration examples

Cons:

  • Requires SSE backend for streaming
  • No built-in noise suppression
  • Primarily a UI library, not a full agent framework

Verdict

Choose Hush if your primary need is cleaning noisy audio for voice AI agents in real-time calls. It excels at removing background noise and competing voices, improving ASR accuracy and call quality. Choose Persona.js if you want to quickly add a customizable, agentic chat UI to any website without framework lock-in. It is ideal for building copilots, support widgets, or full-screen assistants that can interact with page tools. Both are open-source and excel in their respective domains.