A developer built Acoustic Atlas, an offline-first Progressive Web App that uses Google's open-weight YAMNet audio classifier via TensorFlow.js to score how "alive" a location sounds. The app processe…
A developer built a fully local, browser-based sleep monitoring system that uses Whisper.cpp compiled to WebAssembly to filter out speech for privacy and a TensorFlow.js CNN to classify Mel Spectrogra…
Audio tagging models, which classify multiple simultaneous sounds in a clip, differ fundamentally from single-label classifiers by using independent sigmoid outputs and binary cross-entropy instead of…
An evaluation protocol for choosing audio embedding models for similarity search across a sound library is described. The protocol emphasizes that retrieval quality depends on the library's recording …
Yan Li, an Applied Research Engineer, developed a more efficient audio embedding model using an AI agent to iteratively explore improvements, addressing limitations in state-of-the-art models like BYO…
A developer tested whether YAMNet, Google's audio classification model, can detect unseen sudden sounds in real time without prior specification. The best configuration achieved 45.8% recall (22 of 48…