Dev.to
7/5/2026

The original title is "Extracting Speech Segments with Silero VAD and ONNX Runtime"
Original: Extracting Speech Segments with Silero VAD and ONNX Runtime
Short summary
This technical lab demonstrates voice activity detection (VAD) using Silero's ONNX model to extract speech segments from audio. The author processes a 14-second Japanese conversation, detecting 12 distinct segments and extracting each as a separate WAV file, with CPU processing at 0.002x real-time factor. Complete reproducible code, setup instructions, and performance benchmarks are provided.
- •Silero VAD with ONNX Runtime detects and segments speech in real-time on CPU
- •14-second audio processed in 0.028 seconds; 12 speech segments extracted as WAV files
- •Fully reproducible lab with code, setup instructions, and detailed performance metrics
Generated with AI, which can make mistakes.
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