Dialogflow

by Lee Boonstra in Chatbots on Jan 2nd 2021

Building Your Own Conversational Voice AI ...

This is the second blog in the series:
A best practice for streaming audio from a browser microphone to Dialogflow & Google Cloud Speech To Text.

In this first blog, I have introduced all the conversational components, and I addressed why customers would integrate their own conversational AI compared to building for the Google Assistant.

Today, I will make a start by building a client-side web application which uses a HTML5 Microphone with WebRTC, streaming the audio bytes to a Node.js backend.

Lee Boonstra

Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from software engineer to prompt engineer, web developer to technical trainer, and developer advocate.

With eight years of experience at Google under their belt, they now hold the role of SWE Tech Lead at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.

Lee wrote a book for O’Reilly: Hands-on Sencha Touch 2 and lately: the Definitive Guide to Conversational AI with Dialogflow and Google Cloud for Apress. And the Google Prompt Engineering whitepaper.