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alkove

On-device voice isolation, wake words, voice activity and voiceprints. In the browser (WebAssembly) and in Python, with plugins for LiveKit Agents and Pipecat. Apache-2.0 code and weights.

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GITHUB · launched Oct 18, 2026 · 16 upvotes (top 71%) · 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-native
  • Commercial product
  • grapheme-to-phoneme
  • hotword
  • keyword-spotting
  • livekit
  • noise-cancellation
  • noise-suppression
  • +14 more

Visit website ↗ Source listing ↗

Could you build this?

No The SDK depends on trained speech models for voice isolation, keyword spotting, and voiceprints. Building these requires ML research, large labeled audio datasets, and model optimization for on-device inference.

What it would actually take: The stack is a C/C++ or Rust inference core compiled to WebAssembly and Python bindings, plus plugins for LiveKit and Pipecat. The hard part is training small, accurate speech models (source separation, keyword spotting, speaker embeddings) on large multilingual corpora and quantizing them under 8 MB. This requires speech ML researchers and substantial GPU compute.

Competitors

Other products that read as similar to this one : 148 launches clear the similarity bar, closest 8 shown.

Attention rank: #117 of 149 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 340 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.