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Announcing tinyML Talks on August 31st, 2021
IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/2116282812406/WN_Y94-puTbQ6CtWz0GCpB6sg
Once registered, you will receive a link and dial in information to teleconference by email, that you can also add to your calendar.
8:00 AM - 9:00 AM Pacific Daylight Time (PDT)
Dmitry Maslov, Machine learning engineer, Product Manager, Seeed Studio
"Speech-to-intent models on low-power low-footprint devices"
A traditional approach to using speech for device control/user request fulfillment is first, to transcribe the speech to text and then parse the text to the commands/quarries in suitable format. While this approach offers a lot of flexibility in terms of vocabulary and/or applications scenarios, a combination of speech recognition model and dedicated parser is not suitable for constrained resources of microcontrollers. A more efficient way is to directly parse user utterances into actionable output in form of intent/slots. In this presentation I will share techniques to train a specific domain speech-to-intent model and deploy it to Cortex M4F based development board with built-in microphone, Wio Terminal from Seeed studio.
Dmitry Maslov is a machine learning engineer, working at Seeed Studio on machine learning applications for embedded devices, both MCUs and SBCs. Recently he published a series of TinyML projects combined in a course, where he utilizes Edge Impulse/Tensor flow Lite for Microcontrollers to tackle challenging sensor data analysis tasks using Seeed Studio's Wio Terminal as a reference hardware. He also runs the Hardware.ai YouTube channel that is focused on embedded ML and robotics.
We encourage you to register earlier since on-line broadcast capacity may be limited.
Note: tinyML Talks slides and videos will be available on the tinyML website and tinyML YouTube Channel afterwards, for those who missed the live session. Please take a moment and subscribe to the YouTube channel today: https://www.youtube.com/tinyML?sub_confirmation=1
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tinyML Talks by Dmitry Maslov from Seeed Studio