Spracherkennung
<!DOCTYPE HTML> <html> <head> </head> <body> <script type="text/javascript"> // We need to check if the browser supports WebSockets if ("WebSocket" in window) { // Before we can connect to the WebSocket, we need to start it in Processing. // Example using WebSocketP5 // http://github.com/muthesius/WebSocketP5 var ws = new WebSocket("ws://localhost:8080/p5websocket"); } else { // The browser doesn't support WebSocket alert("WebSocket NOT supported by your Browser!"); } // Now we can start the speech recognition // Supported only in Chrome // Once started, you need to allow Chrome to use the microphone var recognition = new webkitSpeechRecognition(); // Be default, Chrome will only return a single result. // By enabling "continuous", Chrome will keep the microphone active. recognition.continuous = true; recognition.onresult = function(event) { // Get the current result from the results object var transcript = event.results[event.results.length-1][0].transcript; // Send the result string via WebSocket to the running Processing Sketch ws.send(transcript); } // Start the recognition recognition.start(); </script> </body> </html> |
// Simple Speech Recognition using Google's Speech Recognition Webkit // based on the example from Florian Schulz http://stt.getflourish.com import muthesius.net.*; import org.webbitserver.*; WebSocketP5 socket; String input = ""; color c = color(0,0,0); void setup() { size(640, 480); socket = new WebSocketP5(this, 8080); } void draw() { background(c); textSize(20); text(input, 20, 60); } void stop() { socket.stop(); } void websocketOnMessage(WebSocketConnection con, String msg) { println(msg); msg = trim(msg); input = msg; if (msg.equals("black") || msg.equals("schwarz")) { c = color(0,0,0); } if(msg.equals("red") || msg.equals("rot")) { c = color(255,0,0); } } void websocketOnOpen(WebSocketConnection con) { println("A client joined"); } void websocketOnClosed(WebSocketConnection con) { println("A client left"); } |