The age of AI is engulfing us with experts attempting to envision a future driven by
the rise of this far-reaching technology. Significant progress has been made during
2018-2019 for AI and deep learning in particular. The rise of ANI ( Artificial Narrow
Intelligence) for image and video processing has emerged alongside advances in the
key domains of language, control, and decision-making.
Following on from the successes in image and video processing, research has extended
to the domain of audio processing. This paper outlines impressive technological advancements
made in ANI enabled audio processing.
The research includes a practical review of the processes involved in building audio
processing AI systems. The paper describes a method for feature extraction,
modelling and deployment of a voice recognition model on the Raspberry Pi3 , the
smartest, most robust and smallest computer circuit known to mankind. A visual
analysis of the extracted features is performed. Performance parameters for audio
processing are balanced for the layers of a convolutional neural network. The research
results demonstrate a model accuracy of 98.56%, an improvement on the accuracy
reported by previous research.