Conversational AI Blog
(Beginner) Tutorials, Guides and FAQs on Chatbots, Voice Bots, Dialogflow Essentials and Dialogflow CX.
Welcome to my conversational AI engineering blog. As a SWE and advocate for Google, I build a lot of cool stuff, and I'm the bridge between Google's engineering team and you; chatbot developers, UI/UX designers, conversational experts, linguists, and contact center engineers.
Building Your Own Conversational Voice AI ...
This is the third blog in the series:
A best practice for streaming audio from a browser microphone to Dialogflow & Google Cloud Speech To Text.
In case you haven’t read the other blogs, I recommend to browse back to these blogs:
- Blog 1: Introduction to the GCP conversational AI components, and integrating your own voice AI in a web app.
- Blog 2: Building a client-side web application which streams audio from a browser microphone to a server.
In the next blog of this series, I will receive the audio bytes from the browser microphone on the server-side, so I can use this to make Dialogflow Detect Intent or Speech to Text transcribe calls!
Lee Boonstra
Lee Boonstra is a software engineer and advocate for the Cloud office of the CTO at Google, a diverse team of highly experienced engineers and technologists, working on behalf of the Cloud CEO, whose mission is to foster market-disrupting collaborative innovation between Google and the world's most ambitious organizations. Expertise in AI & Voice, Lee is a public speaker and a published author for O'Reilly and Apress.
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.
Lee lives in Amsterdam, the Netherlands, and is a rainbow mommy.
Google Cloud Talks
Session 1: Build your own conversational AI with Dialogflow and Speech APIs
Session 2:...
Front-end Love Conference: Building a cus...
I recently spoke at the Front-end Love conference sharing a best practice for streaming audio...