{"_id":"@antoine-lizee/vad-web","name":"@antoine-lizee/vad-web","dist-tags":{"latest":"0.0.12"},"versions":{"0.0.12":{"name":"@antoine-lizee/vad-web","description":"Powerful, user-friendly voice activity detector (VAD) for the browser","keywords":["speech-recognition","wake-word-detection","machine-learning","voice-activity-detection","vad","onnx","voice-control","offline-speech-recognition"],"homepage":"https://github.com/ricky0123/vad","version":"0.0.12","license":"ISC","main":"dist/index.js","unpkg":"dist/bundle.min.js","jsdelivr":"dist/bundle.min.js","devDependencies":{"@playwright/test":"^1.30.0","@types/audioworklet":"^0.0.36","@types/express":"^4.17.17","express":"^4.18.2","webpack":"^5.75.0","webpack-cli":"^5.0.1"},"dependencies":{"onnxruntime-web":"^1.14.0"},"scripts":{"build":"./scripts/build.sh","test-server":"tsc -p ./scripts/tsconfig.json && node ./scripts/test-server.js","test":"playwright test","clean":"rm -rf dist"},"types":"./dist/index.d.ts","gitHead":"ace4f241479c49b25be0db59302da75eb5898d50","_id":"@antoine-lizee/vad-web@0.0.12","_nodeVersion":"18.12.1","_npmVersion":"8.19.2","dist":{"integrity":"sha512-tKWNVCcCILYzwWXrAZGCkNG/3/J4Zo5KCOYogyeVHIv7EZr0QIE+cOPpfl3dVkwpdymw0wobDdR+6Nug8BOqZw==","shasum":"ea6ace1a25dbe6d06357addf284ddcb96227a736","tarball":"https://registry.npmjs.org/@antoine-lizee/vad-web/-/vad-web-0.0.12.tgz","fileCount":65,"unpackedSize":1974734,"signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEYCIQCsqzsEzfswMTTL15PLFwkNpOHoWI01pwemaaZlHHcL2AIhAIdsqZMVyBVmNA78MaK11LarHlUuHGCsGnr3Ppee6Dto"}]},"_npmUser":{"name":"antoine-lizee","email":"antoine.lizee@gmail.com"},"directories":{},"maintainers":[{"name":"antoine-lizee","email":"antoine.lizee@gmail.com"}],"_npmOperationalInternal":{"host":"s3://npm-registry-packages","tmp":"tmp/vad-web_0.0.12_1698326205408_0.45582717277272655"},"_hasShrinkwrap":false}},"time":{"created":"2023-10-26T13:16:45.287Z","0.0.12":"2023-10-26T13:16:45.720Z","modified":"2023-10-26T13:16:46.003Z"},"maintainers":[{"name":"antoine-lizee","email":"antoine.lizee@gmail.com"}],"description":"Powerful, user-friendly voice activity detector (VAD) for the browser","homepage":"https://github.com/ricky0123/vad","keywords":["speech-recognition","wake-word-detection","machine-learning","voice-activity-detection","vad","onnx","voice-control","offline-speech-recognition"],"license":"ISC","readme":"# Voice Activity Detector for the Browser\n\nPrompt your user for microphone permissions and run callbacks on segments of audio with user speech in a few lines of code.\n\nQuick start:\n```html\n<script src=\"https://cdn.jsdelivr.net/npm/onnxruntime-web/dist/ort.js\"></script>\n<script src=\"https://cdn.jsdelivr.net/npm/@antoine-lizee/vad-web@0.0.7/dist/bundle.min.js\"></script>\n<script>\n  async function main() {\n    const myvad = await vad.MicVAD.new({\n      onSpeechEnd: (audio) => {\n        // do something with `audio` (Float32Array of audio samples at sample rate 16000)...\n      }\n    })\n    myvad.start()\n  }\n  main()\n</script>\n```\n\nSee the [project home](https://github.com/ricky0123/vad) for more details.\n","readmeFilename":"README.md"}