Abstract
Speech communication is the most natural and quickest form of high-level communication for humans. It has long been an appealing goal to extend our abilities in this area to computers or other electronic devices, so that we could communicate with them with the same simplicity and speed which we communicate with other people. In addition, there are many circumstances when vocal communication has other advantages. For example, in vehicle environments the user can hands free control the navigation system or other functions of the vehicle while driving. Noise reduction is also important during calls or during conference talking inside buses. The article presents a spectral subtraction based noise reduction system with phase reconstruction for a two-microphone noise cancellation.
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
References
Dang, X., Khan, M.I.A., Nakai, T.: Noise reduction of speech signal based on phase spectrum estimation. In: 2013 International Conference on Informatics, Electronics and Vision (ICIEV), pp. 1–4 (2013)
Ahn, S., Ko, H.: Background noise reduction via dual-channel scheme for speech recognition in vehicular environment. IEEE Trans. Consum. Electron. 51(1), 22–27 (2005)
Khan, R., Ali, M., Frank, E.C.: Analysis of Vehicle Voice Recognition Performance in Response to Background Noise and Gender Based Frequency (No. 2017-01-1888). SAE Technical Paper (2017)
Dautrich, B.-A., Rabiner, L.-R., Martin, T.-B.: On the effects of varying filter bank parameters on isolated word recognition. IEEE Trans. Acoust. Speech Sig. Process. 31, 793–806 (1983)
Fried, N., Cuperman, V.: Evaluation of speech recognition equipment in a vehicular environment. In: IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, pp. 455–458 (1989)
Dal Degan, N., Prati, C.: Acoustic noise analysis and speech enhancement techniques for mobile radio applications. Sig. Process. 15, 43–56 (1988)
Davídek, V., Sovka, P., Šika, J.: Real-time implementation of spectral subtraction algorithm for suppression of acoustic noise in speech. In: Proceedings of the 4th European Conference on Speech Communication and Technology, EUROSPEECH 1995, Madrid, pp. 141–144 (1995)
Pham, Q.H., Sovka, P.: A family of coherence-based multi-microphone speech enhancement systems. Radioengineering 12(2), 23–30 (2003)
Hendriks, R.C., Gerkmann, T.: Noise correlation matrix estimation for multi-microphone speech enhancement. IEEE Trans. Audio Speech Lang. Process. 20(1), 223–233 (2012)
Acknowledgment
The described paper was carried out as part of the EFOP-3.6.1-16-2016-00011 “Younger and Renewing University – Innovative Knowledge City – institutional development of the University of Miskolc aiming at intelligent specialisation” project implemented in the framework of the Szechenyi 2020 program. The realization of this project is supported by the European Union, co-financed by the European Social Fund.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Czap, L., Pinter, J.M. (2018). Noise Reduction for Voice-Activated Car Commands. In: Jármai, K., Bolló, B. (eds) Vehicle and Automotive Engineering 2. VAE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-75677-6_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-75677-6_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-75676-9
Online ISBN: 978-3-319-75677-6
eBook Packages: EngineeringEngineering (R0)