July 27, 2024
Banking

software for spotting verbal keywords #Audio #NeuralNet @eembc_org « Adafruit Industries – Makers, hackers, artists, designers and engineers!


AudioMark™ is a benchmark which models a sophisticated, real-world audio pipeline that uses a neural net for keyword spotting. EEMBC developed this benchmark in response to the massive proliferation of products utilizing an audio controlled Human-Machine Interface (HMI) that rely on such a pipeline. This includes everything from personal assistants like Alexa, to white-box appliances like washers, dryers, and refrigerators, to home entertainment systems, and even cars that respond to voice commands.

The benchmark works by processing two microphone inputs listening to both a speaker and reflected noise. A state-of-the-art adaptive beamformer determines the direction of arrival of the primary speaker. This augmented signal is then treated for echo cancellation and noise reduction. The cleaned signal is sent to an MFCC feature extractor which feeds a neural net that spots one of ten known keywords.

Check out more and the C source on GitHub.

Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards

Join Adafruit on Mastodon

Adafruit is on Mastodon, join in! adafruit.com/mastodon

Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.

Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7pm ET! To join, head over to YouTube and check out the show’s live chat – we’ll post the link there.

Join us every Wednesday night at 8pm ET for Ask an Engineer!

Join over 36,000+ makers on Adafruit’s Discord channels and be part of the community! http://adafru.it/discord

CircuitPython – The easiest way to program microcontrollers – CircuitPython.org

Get the only spam-free daily newsletter about wearables, running a “maker business”, electronic tips and more! Subscribe at AdafruitDaily.com !

No comments yet.

Adafruit has a “be excellent to each other” comment policy. Help us keep the community here positive and helpful. Stick to the topic, be respectful of makers of all ages and skill levels. Be kind, and don’t spam – Thank you!



Source link

Leave a Reply

Your email address will not be published. Required fields are marked *

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent. View more
Accept
Decline