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Intel Global IoT DevFest IV


W3_T4 - A Machine Learning Model for Detecting Respiratory Problems Using Voice Recognition


Description

This presentation provides an overview of the development of intelligent voice data analysis from a machine learning (ML) perspective - a historical, state-of-the-art overview and a peak into some future trends in the field of artificial intelligence. The session focuses on some areas within the voice recognition domain which seem to be important to apply ML in medical diagnosis. It also describes a recently developed method of detecting respiratory problems quickly, by recognizing the changes in voice over time using ML algorithms.

Speaker(s):

  • Soubhik Das, Intel Software Innovator, Intel Corporation

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