
Security News
MCP Community Begins Work on Official MCP Metaregistry
The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
webrtcvad is a cross-platform, native node.js addon for detecting speech in raw audio. webrtcvad provides node.js bindings for the native WebRTC voice activity detection library.
webrtcvad has been tested on Windows 10, macOS 10.14+, and Ubuntu 18.04+ (and may work on other platforms as well).
To install webrtcvad, run:
yarn add webrtcvad
If you're using this library with Electron, you should probably use electron-rebuild.
webrtcvad works with single-channel, 16-bit, signed-integer linear PCM audio sampled at 8kHz, 16kHz, 32kHz, or 48kHz.
You can create a voice activity detector (VAD) with:
import VAD from "webrtcvad";
const audio = ...; // Buffer containing exactly 10ms, 20ms, or 30ms of audio data
const vad = new VAD(16000, 3);
vad.process(audio);
The VAD
constructor accepts two arguments. The first is the sample rate (which must be one of the above), and the second is a VAD level, with 0
being the least aggressive (i.e., leading to the most false positives) and 3
being the most aggressive (i.e., leading to the least false positives, but possibly missing actual speech).
The VAD
object has one method called process
that returns true
if the frame contains speech and false
if not. It takes one argument, a Buffer
containing exactly 10ms, 20ms, or 30ms of audio. For instance, if you're sampling at 16kHz, then the length of audio
should be 160
, 320
, or 480
, since the audio must be single-channel, 16-bit.
If you're looking to apply the VAD to live microphone data, take a look at speech-recorder, which uses webrtcvad to capture speech from a device's microphone.
This module is based on py-webrtcvad.
FAQs
Bindings for the WebRTC VAD.
We found that webrtcvad demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
Research
Security News
Socket uncovers an npm Trojan stealing crypto wallets and BullX credentials via obfuscated code and Telegram exfiltration.
Research
Security News
Malicious npm packages posing as developer tools target macOS Cursor IDE users, stealing credentials and modifying files to gain persistent backdoor access.