Test npm package

2024-04-23 22:24:13 -07:00
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--- a/npm/README.md
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+# Overview
+- A speech recognizer built on Vosk that can be run on the browser, inspired by [vosk-browser](https://github.com/ccoreilly/vosk-browser), but built from scratch and no code taken!
+- Designed with basic/nothrow exception safety
+- See the *examples* folder for examples on using the API.
+- See *API.md* for the API reference
+- See the *devel* folder for the build script for development
+
+# Compared to vosk-browser
+- Support multiple models
+- Has models' storage path management
+- Has models' ID management (for model updates)
+- Has smaller JS size (>3.1MB vs 1.4MB gzipped)
+- Has all related files (pthread worker, audio worklet processor,...) merged
+- Has faster processing time
+- Has shorter from-scratch build time
+- Has more Vosk functions exposed
+
+# Basic usage (microphone recognition)
+- Result are logged to the console.
+- Copied from *examples/fromMic.html*
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <script src="https://cdn.jsdelivr.net/gh/msqr1/Vosklet@1.0.0/Vosklet.js" async defer></script>
+    <script>
+      async function start() {
+        // Make sure sample rate matches that in the training data
+        let ctx = new AudioContext({sampleRate : 16000})
+        // Setup mic with correct sample rate
+        let micNode = ctx.createMediaStreamSource(await navigator.mediaDevices.getUserMedia({
+          video: false,
+          audio: {
+            echoCancellation: true,
+            noiseSuppression: true,
+            channelCount: 1,
+            sampleRate: 16000
+          },
+        }))
+        // Load Vosklet module, model and recognizer
+        let module = await loadVosklet()
+        let model = await module.createModel("en-model.tgz","model","ID")
+        let recognizer = await module.createRecognizer(model, 16000)
+        // Listen for result and partial result
+        recognizer.addEventListener("result", ev => {
+          console.log("Result: ", ev.detail)
+        })
+        recognizer.addEventListener("partialResult", ev => {
+          console.log("Partial result: ", ev.detail)
+        })
+        // Create a transferer node to get audio data on the main thread
+        let transferer = await module.createTransferer(ctx, 128 * 150)
+        // Recognize data on arrival
+        transferer.port.onmessage = ev => {
+          recognizer.acceptWaveform(ev.data)
+        }
+        // Connect to microphone
+        micNode.connect(transferer)
+      }
+    </script>
+    <!-- Start and create audio context only as a result of user's action -->
+    <button onclick="start()">Start</button>
+  </head>
+</html>
+```
--- a/npm/index.js
+++ b/npm/index.js
--- a/npm/package.json
+++ b/npm/package.json
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+{
+  "name": "vosklet",
+  "version": "1.0.1",
+  "description": "A speech recognizer that can run on the browser, inspired by vosk-browser",
+  "main": "index.js",
+  "directories": {
+    "example": "examples"
+  },
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/msqr1/Vosklet.git"
+  },
+  "keywords": [
+    "javascript",
+    "api",
+    "wasm",
+    "webassembly",
+    "speech-recognizer",
+    "vosk",
+    "kaldi"
+  ],
+  "author": "msqr1",
+  "license": "Apache-2.0",
+  "bugs": {
+    "url": "https://github.com/msqr1/Vosklet/issues"
+  },
+  "homepage": "https://github.com/msqr1/Vosklet#readme"
+}