(Beginner) Tutorials, Guides and FAQs on Chatbots, Voice Bots, Dialogflow Essentials and Dialogflow CX.
Welcome to my conversational AI developer blog. As a developer advocate for Google, I'm the bridge between Google's engineering team and you; chatbot developers, UI/UX designers, conversational experts, linguists, and contact center engineers.
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 is a conversational AI developer advocate and applied AI engineer at Google. In this role, she is focusing on Dialogflow, Contact Center AI & Speech technology. She is a public speaker and a published author.
Lee wrote a book for O’Reilly: Hands-on Sencha Touch 2 and is currently working on the Google Conversational AI book at Apress.
Lee lives in Amsterdam, the Netherlands, and is a rainbow mommy.
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...