Training a Neural Network to Detect Shaheds and Quads from Audio
Jun 15, 2026 · 14 min read · machine-learning audio neural-network pytorch shahed drone-detection onnx quantization drone-detector ·Live demo: drone-detector.sintra.site A note before the technical content: the staggered training protocol described in this article was developed with significant help from Sintra AI. What started as a series of questions about why the naive P1→P2 schedule kept plateauing turned into a structured debugging …
Read MoreExtract individual streams (audio, video, subtitles) from media files and merge them back together. List Streams in File Show All Streams 1# Detailed stream information 2ffmpeg -i input.mp4 3 4# More detailed (includes codec details) 5ffprobe -i input.mp4 6 7# JSON format (parseable) 8ffprobe -v quiet -print_format …
Read MoreAudio embeddings convert sound signals (speech, music, environmental sounds) into dense vector representations that capture acoustic and semantic features, enabling similarity search, classification, and retrieval. Core Idea Audio embeddings map audio waveforms or spectrograms to fixed-size vectors in a …
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My obsession with audio reproduction started with my first i386 PC. Back then, getting any sound out of a computer required creativity. I experimented with the internal PC speaker, directly accessing the timer IC to generate crude audio through clever PWM modulation. The results were terrible, but fascinating. Next …
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I was building a Christmas set of spherical speakers just to familiarize myself with ADAU1401 Sigma DSP. And I wanted to add Bluetooth capability to the speakers so that they could receive sound data from an old Samsung Galaxy Note 10.1 in the kitchen. Granted, I have ordered some Bluetooth audio receivers, however, …
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