Voice recognition on Cortex-M

Microspeech ML example with TensorFlow and Mbed OS

Perform ML inference on a Cortex-M microcontroller with TensorFlow Lite for Microcontrollers with Mbed OS.

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AI on Adafruit EdgeBadge

Learn to do speech recognition using TensorFlow models with the Adafruit EdgeBadge.

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Build noise-immune speech interfaces

See how BabbleLabs systematically applies deep learning to noisy real-world audio using microphone arrays, neural networks and training methods to transform live speech experiences.

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Build an audio recognition system with Edge Impulse

Learn how to collect audio data from microphones, use signal processing to extract information, train a deep neural network and deploy the system to an embedded device – using an Arm Cortex-M4 based board and Edge Impulse.

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Adding Alexa to IoT devices

See how to use the Alexa Voice Service Integration for AWS IoT Core to add voice capabilities into your product by offloading memory and compute intensive tasks to the cloud.

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Voice recognition on Cortex-A

Rhasspy voice assistant on MATRIX

Use the MATRIX Creator to enable voice recognition with the Rhasspy offline voice assistant and a Docker image.

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Google AI Cloud and Raspberry Pi dog mood detector

Use Google AI Cloud to create a model to categorize dog sounds, then run the model on an Arm-based Raspberry Pi to listen for dog sounds and identify them.

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Build embedded voice-based devices with Picovoice

Use the Picovoice platform to build voice interfaces on a Raspberry Pi and a Cortex-M4 based device.

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Deploy cloud-based ML for speech transcription

Set up client-server speech transcription running on cloud-hosted Arm servers.

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Answered Forum FAQs Started 1 months ago by Annie Cracknell 0 replies 230 views
Answered Forum FAQs Started 1 months ago by Annie Cracknell 0 replies 229 views