Integrate Houndify SDK
- First, make sure you have the houndify-clients npm package. Use npm or yarn to install.
- Import the Houndify client into your JavaScript project:
import Houndify from 'houndify';
Configure Houndify Client
- Create a new instance of Houndify. You will need your clientId and clientKey which you get from your Houndify application settings.
- Define the user ID and request an authentication signature (more advanced functionality, it can often be a manually set unique user like email).
const houndClient = new Houndify.HoundifyClient({
clientId: "YOUR_CLIENT_ID",
clientKey: "YOUR_CLIENT_KEY",
userId: "unique_user_id",
requestInfo: {
UserID: "unique_user_id"
}
});
Set Up the Audio Recording
- Initialize a new instance of Recorder.js or any compatible audio recording library. This will help capture the audio that will be sent to the Houndify API.
- Ensure you handle microphone permissions efficiently, prompting users only when necessary and offering a clear rationale.
const rec = new Recorder({
encoderPath: 'encoderWorker.min.js', // Necessary path for some audio encoders
encoderSampleRate: 16000, // 16kHz is often used sample rate
sourceNode: audioContext.createMediaStreamSource(stream)
});
Establish Event Listeners for Recording Control
- Connect your recording handler to UI elements like buttons, ensuring users can easily start and stop recordings.
- Add event listeners to these buttons, effectively managing the start and stop of audio capturing.
document.getElementById('start-button').addEventListener('click', () => {
rec.start().then(() => {
console.log('Recording started');
});
});
document.getElementById('stop-button').addEventListener('click', () => {
rec.stop().then((audioBlob) => {
console.log('Recording stopped');
sendToHoundify(audioBlob);
});
});
Send Audio Data to Houndify
- Utilize Blob data from your recorder to create a stream and send it to the Houndify API.
- Handle responses and potential errors from the server appropriately.
function sendToHoundify(audioBlob) {
const readerStream = new FileReader();
readerStream.onloadend = () => {
houndClient.voiceSearch({
audio: readerStream.result,
onResponse: (response, info) => {
console.log("Response Received:", response);
},
onError: (err) => {
console.error("Error:", err);
}
});
};
readerStream.readAsArrayBuffer(audioBlob);
}
Debugging and Logging
- Implement comprehensive error handling within your client to capture and log unexpected responses or network issues.
- Use browser developer tools to trace network requests, ensuring audio data is correctly sent and responses are rightfully received.
Optimize Voice Recognitions
- Tweak your audio configurations and Houndify parameters based on testing to achieve optimal voice recognition performance.
- Consider the noise environment of your application space, implementing noise cancellation or audio pre-processing as needed.
