Voice recognition on Cortex-M

Voice on Arm: Constrained IoT device demonstration

Get started with your Voice on Arm project; set up voice commands on a constrained IoT device using Alexa Voice Service Integration.

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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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Community Blogs

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Turning ideas into reality with Flexible Access and Arm Approved Design Par

It takes specialized skills and domain knowledge to convert Arm IP into a System-on-Chip (SoC). A wide variety of skills in architecture definition, IP selection, IP integration, design verification, and physical design are needed. More often than we…

4 days ago by Joe Hanson
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Back to the roots: Tracing and debugging as a way to increase efficiency

In this guest blog from Anders Holmberg, read about tracing and debugging to increase efficiency.

6 months ago by Anders Holmberg
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Design for the IoT Connected World with Next-Generation eMRAM NVM

With digital transformation well underway across global industries, the need for more energy-efficient, secure, and scalable IoT connected world is essential. The adoption of embedded magnetoresistive random access memory (eMRAM) non-volatile memory…

7 months ago by Phil Morris
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Computational Storage is bringing processing closer to the data

We are generating, storing, and processing more and more data. Find out in this blog how computational storage generates insights and value from that data.

7 months ago by Neil Werdmuller
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Arm Cortex-R82: Combining high-performance 64-bit real-time and…

Find out in this blog how Arm Cortex-R82 with higher performance, real-time compute with more addressable space, and the ability to run Linux will enable the next generation of storage devices.

7 months ago by Neil Werdmuller
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Why IoT is changing the face of manufacturing

In this blog, read about the changes in Internet of Things (IoT) manufacturing.

8 months ago by Rob Turner

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