Home » [Part-4] Text to Action: Wake Word Detection Speech to Calendar Event

[Part-4] Text to Action: Wake Word Detection Speech to Calendar Event

by Lila Hernandez
2 minutes read

Welcome back to the ongoing journey of turning text into actionable tasks through the power of artificial intelligence. In this fourth segment of our “Text to Action” series, we are diving into the realm of wake word detection and speech-to-calendar event functionalities.

In the initial phase of our project, outlined in the first part of our series, we laid down the groundwork by setting up an Express.js backend that seamlessly integrates with Google Calendar’s API. This pivotal step enabled us to initiate the creation of calendar events programmatically via an exposed API endpoint.

Now, let’s take things a step further by introducing wake word detection into the mix. Wake word detection serves as the trigger that alerts our system to start listening for further commands. For instance, phrases like “Hey Calendar” or “OK Scheduler” could serve as wake words, prompting the system to await instructions for scheduling events.

Once the wake word is detected, the system can then seamlessly transition into speech-to-calendar event conversion. This functionality allows users to verbally dictate event details such as the event title, date, time, and any additional notes. The system processes this spoken input, parses the relevant information, and automatically creates a corresponding calendar event.

Imagine the convenience of simply saying, “Hey Calendar, schedule a meeting with the marketing team on Friday at 10 AM,” and witnessing the system swiftly translate your words into a tangible calendar entry without any manual input on your part.

By integrating wake word detection and speech-to-calendar event capabilities, we are not only streamlining the process of creating calendar events but also enhancing the overall user experience. This amalgamation of AI technologies not only boosts productivity but also showcases the potential of harnessing natural language processing in practical applications.

In the upcoming segments of our “Text to Action” series, we will continue to explore innovative ways to bridge the gap between human language and automated actions, paving the way for a more intuitive and efficient interaction with technology. Stay tuned as we unravel more insights and advancements in the realm of AI-driven solutions for everyday tasks.

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