(Beginner) Tutorials, Guides and FAQs on Prompt Engineering, Chatbots, Voice Bots, Dialogflow Essentials and Dialogflow CX.
This is the fourth 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:
In the next blog of this series, I will take text (or Dialogflow QueryResult text data) that’s currently available on the server-side, pass it to the Text to Speech API (to synthesize the text) and return the audio bytes back to the client app, to play it in the browser. It has to play the audio bytes automatically.
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.
This is the third blog in the series:
A best practice for streaming audio from a browser mi...
This is the second blog in the series:
A best practice for streaming audio from a browser m...
This is the first blog in the series:
A best practice for streaming audio from a browse...
Dialogflow has the Mega Agent feature. (At the time of writing, this feature is still in beta ...