All about wake word detection with Soundhound’s Darin Clark

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About this episode

A deep dive into the ins and outs of a crucial voice assistant component; wake words.

Presented by Deepgram

Deepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:

Wake word detection

SoundHound Director Of Business Development, Darin Clark, join us to share the ins and outs of wake word detection for voice AI and speech recognition systems.

One of the crucial parts of creating a voice assistant is the ability for the assistant to start listening when you say its name. For example “Alexa”, “Hey Siri” or “OK Google”. They are all examples of ‘wake words’. But how to you create your own wake word for your brand? How do you deploy a wake word onto something like an app or some hardware, such as an in-car infotainment system, a speaker or even a fridge or other smart device?

All of those questions will be answered, and more, in this live interview with Darin Clark, Director Of Business Development at leading voice AI company, SoundHound.

Find out more about Soundhound and how it can help you create your own wake word.

Links

Visit Soundhound.com

Email Darin Clark directly

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Kane Simms

A strategic AI advisor who, for the past decade, has helped business leaders and product owners transform customer experience using conversational and generative AI.

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