MyConverse: Recognising and Visualising Personal Conversations Using Smartphones

Publication Type Conference Paper
Authors Mirco Rossi, Oliver Amft, Sebastian Feese, Christian Käslin, Gerhard Tröster
Title MyConverse: Recognising and Visualising Personal Conversations Using Smartphones
Abstract MyConverse is a personal conversation recogniser and visualiser for smartphones. MyConverse uses the smartphone's microphone to continuously recognise the user's conversations during daily life. While it recognises pre-trained speakers, unknown speakers are detected and subsequently trained for future identification. Based on the recognition, MyConverse visualises user's social interactions on the smartphone. An extensive system parameter evaluation has been done based on a freely available dataset. Additionally, MyConverse was tested in different real-life environments and in a full-day evaluation study. The speaker recognition system reached an identification accuracy of 75% for 24 speakers in meeting room conditions. In other daily life situations MyConverse reached accuracies from 60% to 84%.
Date 2013
Proceedings Title Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication
Place Zurich, Switzerland
Publisher ACM
Pages 1275–1284
DOI 10.1145/2494091.2497281
ISBN 978-1-4503-2215-7
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Friedrich-Alexander-Universität Erlangen-Nürnberg