{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Silero VAD detects speech activity in audio files and streams, identifying when voice is present and returning timestamps of speech segments.","skillfed_tags":["speech-processing","audio-analysis","edge-ml"],"use_cases":["Filter silence from voice recordings or call center logs before transcription or analysis.","Trigger voice bot responses only when speech is detected, reducing false activations.","Segment long audio files into speech regions for downstream processing (transcription, speaker diarization).","Implement voice interfaces on edge devices or mobile by detecting when a user starts speaking.","Clean training datasets by identifying and extracting only speech-containing portions."],"what_it_does":"Silero VAD is a pre-trained neural network model that identifies when speech is present in audio. It takes audio input and returns timestamps marking where voice activity occurs, useful for filtering silence, segmenting conversations, or triggering downstream processing only when speech is detected.\n\nThe package wraps PyTorch models (or ONNX alternatives) and handles audio loading via torchaudio, supporting 8000 Hz and 16000 Hz sampling rates. It's designed for production use: the model is around two megabytes, processes audio chunks in under 1ms on CPU, and was trained on diverse multilingual data. You can run it on CPU, GPU, or via ONNX runtime on various architectures.","worth_installing":"Yes. Active maintenance, no known vulnerabilities, permissive MIT license, low install friction, and production-grade accuracy make it a solid choice for any speech detection task. The main gotcha is ensuring an audio backend (FFmpeg, sox, or soundfile) is available on your deployment target\u2014verify that before committing to it in a containerized or embedded environment."},"id":"silero-vad","links":{"html":"https://skillfed.io/packages/silero-vad","md":"https://skillfed.io/packages/silero-vad.md","pypi":"https://pypi.org/project/silero-vad/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-24","license_spdx":null,"license_treatment":"permissive","name":"silero-vad","python_support":"supports_current","summary":"Voice Activity Detector (VAD) by Silero"},"popularity":{"monthly_downloads":1260439,"position":4150,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"6.2.1"}