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Audio perception layer for LLM agents, with a memory that grows through use

Reddit r/LocalLLaMA · 2026-07-15

An experimental open-source framework that enables LLM agents to perceive and recognize non-speech audio events using local models (CLAP, Whisper, Silero VAD) and a growing concept memory. The system uses event-gated recognition, fingerprinting, and symbol-based reasoning, with no formal benchmarks yet.

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Show HN: Classify mechanical faults using Contrastive Language-Audio Pretraining

Hacker News Top · 2026-07-01 Cached

A proof-of-concept open-source tool that uses CLAP embeddings to classify car faults from audio, providing calibrated triage for fault detection, location, and part identification.

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