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 (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.
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...