Model Overview

Description:

This model can be used for Voice Activity Detection (VAD), and serves as the first step for Automatic Speech Recognition (ASR). Silero VAD works with 8 kHz and 16 kHz sample rates, with fixed 256 and 512 sample windows respectively. It supports more than 6,000 languages.

This model is ready for commercial use.

Third-Party Community Consideration

This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see Silero Voice Activity Detector | PyTorch.

License/Terms of Use:

This model is governed by the NVIDIA RIVA License Agreement.

Disclaimer: AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate or offensive. By downloading a model, you assume the risk of any harm caused by any response or output of the model.

By using this software or model, you are agreeing to the terms and conditions of the license, acceptable use policy and Silero VAD’s privacy policy. Silero VAD is released under the MIT license.

References:

Silero VAD website\nSilero VAD citation

@misc{Silero VAD,\n  author = {Silero Team},\n  title = {Silero VAD: pre-trained enterprise-grade Voice Activity Detector (VAD), Number Detector and Language Classifier},\n  year = {2024},\n  publisher = {GitHub},\n  journal = {GitHub repository},\n  howpublished = {\\url{https://github.com/snakers4/silero-vad}},\n  commit = {insert_some_commit_here},\n  email = {hello@silero.ai}\n}\n

Model Architecture:

Architecture Type: Unknown\nNetwork Architecture: Silero VAD

Input:

Input Type(s): Audio\nInput Format(s): Linear PCM 16-bit 1 channel (Audio)\nInput Parameters: One-Dimensional (1D)

Output:

Output Type(s): Probabilities of speech\nOutput Format: Float\nOutput Parameters: 1D

Supported Hardware Microarchitecture Compatibility:

NVIDIA Ampere
NVIDIA Blackwell

Supported Operating System(s):

Linux

Model Version(s): v5

Training Dataset:

\n
Bible.is\nData Collection Method: Unknown\nLabeling Method: Unknown
\n
\n
globalrecordings.net\nData Collection Method : Unknown\nLabeling Method: Unknown
\n
\n
VoxLingua107\nData Collection Method : Unknown\nLabeling Method: Unknown
\n
\n
Common Voice\nData Collection Method : Human\nLabeling Method: Human
\n
\n
MLS\nData Collection Method : Human\nLabeling Method: Human
\n

Inference:\nEngine: Onnxruntime, Triton

Test Hardware:

A100
H100

For more detail on model usage, evaluation, training dataset and implications, please refer to Silero VAD github.

## Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).

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Silero VAD works with 8 kHz and 16 kHz sample rates, with fixed 256 and 512 sample windows respectively. It supports more than 6,000 languages.\n\nThis model is ready for commercial use.\n\n## **Third-Party Community Consideration**\n\nThis model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see [Silero Voice Activity Detector | PyTorch](https://pytorch.org/hub/snakers4_silero-vad_vad/).\n\n### **License/Terms of Use:**\n\nThis model is governed by the [NVIDIA RIVA License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/).\n\nDisclaimer: AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate or offensive. By downloading a model, you assume the risk of any harm caused by any response or output of the model.\n\nBy using this software or model, you are agreeing to the terms and conditions of the license, acceptable use policy and Silero VAD’s privacy policy. Silero VAD is released under the [MIT license](https://github.com/snakers4/silero-vad/blob/master/LICENSE).\n\n## **References:**\n\nSilero VAD [website](https://github.com/snakers4/silero-vad/)\nSilero VAD citation\n\n```\n@misc{Silero VAD,\n author = {Silero Team},\n title = {Silero VAD: pre-trained enterprise-grade Voice Activity Detector (VAD), Number Detector and Language Classifier},\n year = {2024},\n publisher = {GitHub},\n journal = {GitHub repository},\n howpublished = {\\url{https://github.com/snakers4/silero-vad}},\n commit = {insert_some_commit_here},\n email = {hello@silero.ai}\n}\n```\n\n## **Model Architecture:**\n\n**Architecture Type:** Unknown\n**Network Architecture:** Silero VAD\n\n## **Input:**\n\n**Input Type(s):** Audio\n**Input Format(s):** Linear PCM 16-bit 1 channel (Audio)\n**Input Parameters:** One-Dimensional (1D)\n\n## **Output:**\n\n**Output Type(s):** Probabilities of speech\n**Output Format:** Float\n**Output Parameters:** 1D\n\n**Supported Hardware Microarchitecture Compatibility:**\n\n* NVIDIA Ampere\n* NVIDIA Blackwell\n\n**Supported Operating System(s):**\n\n* Linux\n\n## Model Version(s): v5\n\n## Training Dataset:\n\n* Bible.is\n Data Collection Method: Unknown\n Labeling Method: Unknown\n\n* globalrecordings.net\n Data Collection Method : Unknown\n Labeling Method: Unknown\n\n* VoxLingua107\n Data Collection Method : Unknown\n Labeling Method: Unknown\n\n* Common Voice\n Data Collection Method : Human\n Labeling Method: Human\n\n* MLS\n Data Collection Method : Human\n Labeling Method: Human\n\n**Inference:**\n**Engine:** Onnxruntime, Triton\n\n**Test Hardware:**\n\n* A100\n* H100\n\nFor more detail on model usage, evaluation, training dataset and implications, please refer to Silero VAD [github](https://github.com/snakers4/silero-vad/).\n\n**\\#\\# Ethical Considerations:**\n\nNVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. \n\nPlease report security vulnerabilities or NVIDIA AI Concerns \\[here\\](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).","Multilingual Silero VAD",["D",1733912875886],"/api/image/nvidia/riva/models/silero_vad","https://github.com/kbojo/images/raw/master/Nvidia-Centric-RIVA.png",2329135,"bias","explainability","privacy","safetyAndSecurity",[],[249],[],[],[],{"_93":250,"_129":250,"_130":251,"_132":133},"NSPECT-HWC8-YVV5",{"_134":133,"_129":250},{"_172":1229,"_174":1230},"ngcApps",[1182],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1163":1164,"_1165":1166,"_1167":1168,"_1169":1170,"_1171":263,"_204":291,"_1172":1173,"_1174":51,"_1175":215,"_1176":215,"_1177":1178,"_1179":215,"_1180":1181},"amplitude",{"_1160":1161,"_806":-7,"_1162":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1154":1155,"_1156":1157,"_1158":1159},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1786918953313,"1.11.0","defaultSearchSuggestions",{"_1046":373,"_1047":1048,"_1049":1050,"_1051":1052},"announcements",[],"consentState",{"_330":1036,"_1037":215,"_1038":26,"_1039":26,"_1040":1041},"consentConfig",{"_312":313,"_314":315,"_316":317,"_318":319,"_320":321,"_322":323,"_324":325,"_326":327,"_328":329,"_330":331},"showContactAdmin",1786918953315,[],[],[305,306,307,308,309,310,311],{"_40":55,"_42":67,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":65,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":62,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":60,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":55,"_42":56,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":52,"_42":53,"_44":61,"_46":-5,"_48":-5,"_50":51},{"_40":41,"_42":43,"_44":61,"_46":-5,"_48":-5,"_50":51},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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