Research Article
iHouse: A Voice-Controlled, Centralized, Retrospective Smart Home
@INPROCEEDINGS{10.1007/978-3-319-61563-9_6, author={Benjamin V\o{}lker and Tobias Schubert and Bernd Becker}, title={iHouse: A Voice-Controlled, Centralized, Retrospective Smart Home}, proceedings={Sensor Systems and Software. 7th International Conference, S-Cube 2016, Sophia Antipolis, Nice, France, December 1-2, 2016, Revised Selected Papers}, proceedings_a={S-CUBE}, year={2017}, month={7}, keywords={Smart home Retrospective home Offline speech recognition Wake-up-word recognition Distributed speech processing}, doi={10.1007/978-3-319-61563-9_6} }- Benjamin Völker
Tobias Schubert
Bernd Becker
Year: 2017
iHouse: A Voice-Controlled, Centralized, Retrospective Smart Home
S-CUBE
Springer
DOI: 10.1007/978-3-319-61563-9_6
Abstract
Speech recognition in smart home systems has become popular in both, research and consumer areas. This paper introduces an innovative concept for a modular, customizable, and voice-controlled smart home system. The system combines the advantages of distributed and centralized processing to enable a secure as well as highly modular platform and allows to add existing non-smart components retrospectively into the smart environment. To interact with the system in the most comfortable way - and in particular without additional devices like smartphones - voice-controlling was added as the means of choice. The task of speech recognition is partitioned into decentral Wake-Up-Word (WUW) recognition and central continuous speech recognition to enable flexibility while maintaining security. This is achieved utilizing a novel WUW algorithm suitable to be executed on small microcontrollers which uses Mel Frequency Cepstral Coefficients as well as Dynamic Time Warping. A high rejection rate up to 99.93% was achieved, justifying the use of the algorithm as a voice trigger in the developed smart home system.
