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Machine Learning Megaphone: Advancements in Voice Technology

This week’s podcast is all about the advancements in voice technology. Laurent Pilati (NXP) joins me to discuss the challenges surrounding machine learning for voice tech, the details of NXP’s Voice Intelligent Technology (VIT), and what benchmark metrics are involved for the qualification for a voice design. Also this week, I take a closer look at a new special glove-like device developed at UCLA that can translate American Sign Language into English spoken speech in real-time through a smartphone app.

 

Click here to download this episode

 

Links for April 16, 2021

Wearable-tech glove translates sign language into speech in real time (UCLA Newsroom)

MCU Tech Minutes: Text-to-Model Demo Using NXP’s Voice Intelligent Library (VIT) on i.MX RT1170 MCUs

MCU Tech Minutes: Voice Controlled Audio Player Demo Using NXP’s Voice Intelligent Library (VIT) on i.MX RT600 MCUs

 

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Simon Davidmann, CEO – Imperas

Jessica Gomez – Rogue Valley Microdevices

Shishpal Rawat, Chairman – Accellera Systems Initiative

Kevin Bromber, CEO – myDevices

Daniel Hansson, CEO – Verifyter

Mark Papermaster, CTO – AMD

David Fried, CTO – Coventor

Dr. Steven LeBoeuf, President – Valencell

David Dutton, CEO – Silvaco

Bob Niemiec, CEO – TwistThink

Allan Martinson, COO – Starship Technologies

Zhihong Liu, Chairman and CEO – ProPlus Solutions

Taher Madraswala, CEO and President – Open-Silicon

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Gregg Recupero, CTO — Performance-IP

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Carl Alberty, Vice President – Cirrus Logic

Maximilian Odendahl, CEO — Silexica

Finbarr Moynihan, General Manager — MediaTek

Sanjay Pillay, CEO — Austemper

Louis Parks, CEO – SecureRF

Harold Blomquist, CEO – Helix Semiconductor

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David Su, CEO – Atomic Technologies

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