Abstract
In this paper we are analyzing possibility to authenticate speaker by using user voice biometrics and speech recognition. Process of authentication is simple: user says his personal ID number, then system makes prediction of users’ identity and compares it to claimed ID. If these two parameters are equal system makes a positive decision. Using proposed algorithms we managed to achieve 70.45% accuracy for system, with identification module accuracy of 100% and recognition module accuracy of 70.45%.
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
Similar content being viewed by others
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
References
Rasymas, T., Rudžionis, V.: Lithuanian digits recognition by using hybrid approach by combining Lithuanian google recognizer and some foreign language recognizers. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2015. CCIS, vol. 538, pp. 449–459. Springer, Heidelberg (2015). doi:10.1007/978-3-319-24770-0_38
Rasymas, T., Rudžionis, V.: Evaluation of methods to combine different speech recognizers. In: Proceedings of the Federated Conference on Computer Science and Information Systems, vol. 5, pp. 1043–1047 (2015). doi:10.15439/2015F62
Rudžionis, V., Ratkevičius, K., Rudžionis, A., Raškinis, G., Maskeliunas, R.: Recognition of voice commands using hybrid approach. In: Skersys, T., Butleris, R., Butkiene, R. (eds.) ICIST 2013. CCIS, vol. 403, pp. 249–260. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41947-8_21
Kasparaitis, P.: Transcribing of the Lithuanian text using formal rules. Informatica 10(4), 367–376 (1999)
Schultz, T., Waibel, A.: Language-independent and language-adaptive acoustic modeling for speech recognition. Speech Commun. 35(1), 31–52 (2001)
Meneido, H., Neto, J.: Combination of acoustic models in continuous speech recognition hybrid systems. In: Proceedings of the International Conference in Spoken Language Processing, vol. 9, pp. 1000–1029 (2000)
Dovydaitis, L., Rudžionis, V.: Asmens balso panaudojimas autentikavimui, Informacinės technologijos 2015. 20-oji tarpuniversitetinė magistrantų ir doktorantų konferencija, pp. 147–151 (2015). ISSN 2029-249X
Kinnunen, T., Li, H.: An overview of text-independent speaker recognition: from features to supervectors. Speech Commun. 52, 12–40 (2009)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Dovydaitis, L., Rasymas, T., Rudžionis, V. (2017). Speaker Authentication System Based on Voice Biometrics and Speech Recognition. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-52464-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52463-4
Online ISBN: 978-3-319-52464-1
eBook Packages: Business and ManagementBusiness and Management (R0)