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Hush

Open-source noise suppression for voice AI agents

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Hush removes competing voices, background noise, and audio interference from real-time calls so your voice AI agents always hear what matters.

PH · launched Jun 23, 2026 · 191 upvotes (top 75%) · 0 views

Niche: speech processing software · 57 launches, 7 in the last 7 days ▼ -22% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI feature
  • Hobby / open-source project
  • Open Source
  • Developer Tools
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

Could you build this?

No Developing real-time acoustic noise suppression and speaker separation models requires specialized digital signal processing (DSP) expertise, custom deep neural network training on massive audio corpuses, and extreme low-latency optimization.

What it would actually take: Building this requires designing deep learning architectures (e.g., Conv-TasNet, complex spectral mapping, or recurrent UNets) trained on thousands of hours of clean speech mixed with diverse synthetic and real background noises and competing voices. The resulting models must be quantized (ONNX/TensorRT) to execute with sub-20ms latency on CPU/edge devices without introducing phase artifacts or vocal distortion.

Competitors

Other products that read as similar to this one : 612 launches clear the similarity bar, closest 8 shown.

Attention rank: #565 of 613 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 232 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.