Abstract
We introduce a Query-by-Example (QbE) application for smart-phone devices that implements a recently proposed memory-efficient dynamic programming algorithm [1] for the task of keyword search. The application compares acoustic keywords with the audio input from the microphone and reacts to detected keywords with actions in the phone. These keywords are recorded by the user, who also defines what actions will be performed by each one. One of these keywords is defined to be a trigger keyword, which is used to wake up the system and thus reduce false detections. All keywords can be freely chosen by the user. In Monitor mode, the application stays listening to audio acquired through the microphone and reacts when the trigger + some keyword are matched. All processing is done locally on the phone, which is able to react in real-time to incoming keywords. In this paper we describe the application, review the matching algorithm we used and show experimentally that it successfully reacts to voice commands in a variety of acoustic conditions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Anguera, X., Ferrarons, M.: Memory efficient subsequence dtw for query-by-example spoken term detection. In: 2013 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6. IEEE (2013)
Schalkwyk, J., Beeferman, D., Beaufays, F., Byrne, B., Chelba, C., Cohen, M., Kamvar, M., Strope, B.: “your word is my command”: Google search by voice: A case study. In: Neustein, A. (ed.) Advances in Speech Recognition, pp. 61–90. Springer US (2010), http://dx.doi.org/10.1007/978-1-4419-5951-5_4
Acero, A., Bernstein, N., Chambers, R., Ju, Y., Li, X., Odell, J., Nguyen, P., Scholz, O., Zweig, G.: Live search for mobile: web services by voice on the cellphone. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2008, pp. 5256–5259 (March 2008)
Shen, W., White, C.M., Hazen, T.J.: A comparison of query-by-example methods for spoken term detection. DTIC Document, Tech. Rep. (2009)
Rabiner, L.R., Sambur, M.R.: An algorithm for determining the endpoints of isolated utterances. Bell System Technical Journal 54(2), 297–315 (1975)
Lee, H., Chang, S., Yook, D., Kim, Y.: A voice trigger system using keyword and speaker recognition for mobile devices. IEEE Transactions on Consumer Electronics 55(4), 2377–2384 (2009)
Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics, Speech and Signal Processing 26(1), 43–49 (1978)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Ferrarons, M., Anguera, X., Luque, J. (2014). Flexible Stand-Alone Keyword Recognition Application Using Dynamic Time Warping. In: Navarro Mesa, J.L., et al. Advances in Speech and Language Technologies for Iberian Languages. Lecture Notes in Computer Science(), vol 8854. Springer, Cham. https://doi.org/10.1007/978-3-319-13623-3_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-13623-3_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13622-6
Online ISBN: 978-3-319-13623-3
eBook Packages: Computer ScienceComputer Science (R0)