Demo

Allowing exploratory search from podcasts: the case of Secklow Sounds Radio


Merrill Hall October 11, 2018 19:00 - 21:00

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Ilaria Tiddi, Emanuele Bastianelli, Martino Mensio and Enrico Motta.  

Abstract:  We present here the Secklow Sounds Radio App that was developed as one of the demonstrators in the context of the MK:Smart project. Secklow Sounds is a community radio based in the city of Milton Keynes (MK), providing digital recordings of their broadcasts online, where local issues are often discussed. We developed a mobile-friendly web app that, besides offering live streaming of the radio, allows users to perform an entity-based search of past broadcasts enhanced with information (e.g. areas, museums, topics, etc) provided by the city's centralised repository. The paper presents first the data processing workflow which integrates a number of existing solutions, such as the Google Speech-To-Text API, Neural Networks, DBpedia Spotlight, and the DiscOU search engine, and finally shows how results were integrated into a web and mobile application providing an exploratory search service for radio podcasts.

Keywords:  Audio processing;  Exploratory search;  Data integration