May 28, 2024
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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.

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