Using AssemblyAI’s streaming speech-to-text to implement hotword detection in Go

Revolutionizing Voice-Activated Systems with Hotword Detection

At Extreme Investor Network, we are always on the lookout for cutting-edge technologies that have the potential to revolutionize industries. Today, we delve into the realm of hotword detection, a crucial feature for voice-activated systems like Siri and Alexa. In a recent tutorial by AssemblyAI, developers are guided on how to implement this functionality using AssemblyAI’s Streaming Speech-to-Text API with the Go programming language.

Delving into Hotword Detection

Hotword detection allows AI systems to respond to specific trigger words or phrases. AI giants like Alexa and Siri rely on predefined hotwords to activate their functionalities. The tutorial from AssemblyAI introduces developers to creating a similar system, aptly named ‘Jarvis’ as a tribute to Iron Man, using Go and AssemblyAI’s API.

Setting Up the Development Environment

Before immersing into the coding aspect, developers need to configure their environment. This involves installing the Go bindings of PortAudio to capture raw audio data from the microphone and incorporating the AssemblyAI Go SDK for seamless interaction with the API. The following commands are instrumental in setting up the project:

mkdir jarvis
cd jarvis
go mod init jarvis
go get
go get

Moreover, an AssemblyAI account is indispensable to procure an API key. Developers can easily sign up on the AssemblyAI website and configure their billing details to gain access to the Streaming Speech-to-Text API.

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Implementing the Recorder

The foundational functionality commences with recording raw audio data. The tutorial elucidates on creating a recorder.go file to define a recorder struct that captures audio data using PortAudio. This struct encompasses methods for initiating, halting, and reading from the audio stream.

// Code snippet for creating a recorder struct

Crafting the Real-Time Transcriber

AssemblyAI’s Real-Time Transcriber necessitates event handlers for various stages of the transcription process. These handlers are encapsulated within a transcriber struct encompassing events like OnSessionBegins, OnSessionTerminated, and OnPartialTranscript.

// Code snippet for defining event handlers in the transcriber struct

Integrating Everything Seamlessly

The final stride involves amalgamating all components in the main.go file. This encompasses configuring the API client, initializing the recorder, and managing the transcription events. The code also encompasses logic for detecting the hotword and responding efficaciously.

// Code snippet for integrating API client, initializing the recorder, and handling transcription events

Running the Application

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To kickstart the application, developers need to set their AssemblyAI API key as an environment variable and execute the Go program with the desired hotword:

go run . Jarvis

This command sets ‘Jarvis’ as the hotword, and the program will echo ‘I am here!’ whenever the hotword is discerned in the audio stream.

In Conclusion

This tutorial by AssemblyAI epitomizes a comprehensive guide for developers to implement hotword detection using their Streaming Speech-to-Text API and Go. The amalgamation of PortAudio for capturing audio and AssemblyAI for transcription proffers a potent solution for crafting voice-activated applications. For more in-depth insights, feel free to visit the original tutorial.

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At Extreme Investor Network, we are fervent advocates of leveraging avant-garde technologies like hotword detection to revolutionize the technological landscape. Stay tuned for more insightful content on cryptocurrencies, blockchain, and other transformative technologies.

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