TinyML Talks - Speech-to-Intent Model Deployment to Low-Power Low-Footprint Devices

Explore speech-to-intent model deployment techniques for low-power, low-footprint devices in this tinyML Talk. Discover efficient methods for parsing user utterances directly into actionable output, bypassing traditional speech-to-text transcription. Learn to train domain-specific models and deploy them on Cortex M4F-based development boards with built-in microphones, such as the Wio Terminal from Seeed Studio. Gain insights into data set creation, model training, and accuracy improvements for resource-constrained microcontrollers. Witness a live demonstration and explore potential applications across various targets. Delve into challenges, solutions, and future improvements in this cutting-edge field of tinyML.