Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams

Benjamin Milde, Jonas Wacker, Stefan Radomski, Max Mühlhäuser, Chris Biemann


Abstract
In this demonstration paper we describe Ambient Search, a system that displays and retrieves documents in real time based on speech input. The system operates continuously in ambient mode, i.e. it generates speech transcriptions and identifies main keywords and keyphrases, while also querying its index to display relevant documents without explicit query. Without user intervention, the results are dynamically updated; users can choose to interact with the system at any time, employing a conversation protocol that is enriched with the ambient information gathered continuously. Our evaluation shows that Ambient Search outperforms another implicit speech-based information retrieval system. Ambient search is available as open source software.
Anthology ID:
C16-2049
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
233–237
Language:
URL:
https://www.aclweb.org/anthology/C16-2049
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/C16-2049.pdf