Machine Learning is utilized in almost every aspect of AudioBurst's backbone, as huge amounts of data is processed by AudioBurst's servers on a daily basis.
This data is analyzed and used to automatically improve the ASR models, better understand trending discussions to adjust the segmentation algorithms, analyze user's behavior to recommend bursts based on a user's interests, and predict trending topics based on past events.
Additional development and improvement of machine learning procedures is a core element of Audioburst's long term goals.