Window Size Versus Accuracy Experiments in Voice Activity Detectors
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911396048928768 |
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| author | McKinnon, Max Khaki, Samir Reddy, Chandan KA Huang, William |
| author_facet | McKinnon, Max Khaki, Samir Reddy, Chandan KA Huang, William |
| contents | Voice activity detection (VAD) plays a vital role in enabling applications such as speech recognition. We analyze the impact of window size on the accuracy of three VAD algorithms: Silero, WebRTC, and Root Mean Square (RMS) across a set of diverse real-world digital audio streams. We additionally explore the use of hysteresis on top of each VAD output. Our results offer practical references for optimizing VAD systems. Silero significantly outperforms WebRTC and RMS, and hysteresis provides a benefit for WebRTC. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_17270 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Window Size Versus Accuracy Experiments in Voice Activity Detectors McKinnon, Max Khaki, Samir Reddy, Chandan KA Huang, William Sound Computation and Language Audio and Speech Processing 68T10 I.2.7; H.5.5 Voice activity detection (VAD) plays a vital role in enabling applications such as speech recognition. We analyze the impact of window size on the accuracy of three VAD algorithms: Silero, WebRTC, and Root Mean Square (RMS) across a set of diverse real-world digital audio streams. We additionally explore the use of hysteresis on top of each VAD output. Our results offer practical references for optimizing VAD systems. Silero significantly outperforms WebRTC and RMS, and hysteresis provides a benefit for WebRTC. |
| title | Window Size Versus Accuracy Experiments in Voice Activity Detectors |
| topic | Sound Computation and Language Audio and Speech Processing 68T10 I.2.7; H.5.5 |
| url | https://arxiv.org/abs/2601.17270 |