Alternative Device Interface and Machine Learning

Slides

Code on Github

Abstract

In this presentation, we will look at the how users interface with machines without the use of touch. These different types of interaction have their benefits and pitfalls. To showcase the power of these user interactions we will explore: Voice commands with mobile applications, Speech Recognition, and Computer Vision. After this presentation, attendees will have the knowledge to create applications that can utilize voice, video, and machine learning.

Description

Users use voice (Alexa, Cortana, Google Now) or video as a mode of interaction with applications. More than a fad, this is a natural interface for users and is becoming more and more common with the ever-decreasing size of hardware.

Different types of interaction have their benefits and pitfalls. To showcase the power of these user interactions we will explore: A look at alternative interfaces in popular media and then look at not so popular alternatives. Utilize Facial and Speaker recognition to secure an application. Once secured, create a custom speech to text for just our voice. Create a language understanding application to process the requests we parse with speech to text.

By utilizing Cognitive services, an application with the ultimate in customization for user interactions will be created. Come and see how!