Abstract
The objective of the present study is to analyze and evaluate the performance of audio data for wireless voice over IP (VoIP) proposed model utilizing wavelet transform. The performance was approximated with the subsequent procedure. Firstly, the recorded audio data was decomposed up to four levels by means of wavelet transform. The parameters such as signal/noise ratio (SNR), peak S/N ratio (PSNR), normalized root mean square error (NRMSE), percentage of retained signal energy (PRSE), and compression ratio were used to investigate the performance. Additionally, transmission capabilities were also analyzed using packet loss and delay. From simulation results, it was concluded that Coiflet performs the best at the first and the third decomposition levels, while Haar and Db8 perform the best among the other wavelets at the second and the fourth decomposition levels. Finally, ANOVA statistical tool has been investigated to test the effectiveness of recorded data.
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
References
Kuo, F., Effelsberg, W., Garcia-Luna-Aceves, J.J.: Multimedia Communications: Protocols and Applications. Prentice Hall, pp. 68 (1998)
Monro, D.: Audio Compression. US Patent App.10/473,649, (2004)
Khalifa, O.O., Harding, S.H., Abdalla Hashim, A.-H.: Compression using wavelet transform. Int. J. Sig. Process. 2(5), 17–26 (2008)
Wang, J.-F., Chen, S.-H., Shyuu, J.-S.: Wavelet transforms for speech signal processing. J. Chin. Inst. Eng. 22(5) (1999)
Veer, K., Agarwal, R..: Wavelet and short-time Fourier transform comparison-based analysis of myoelectric signals. J. Appl. Stat. 42(7), 1591–1601 (2015)
Veer, K.: Wavelet transform to recognize muscular—force relationship using SEMG signals. Proc. Natl. Acad. Sci., India, Sect. A 83(1), 103–112 (2016)
Veer, K.: Wavelet transform-based classification of electromyogram signals using an ANOVA technique. Neurophysiology 47(4), 302–309 (2015)
Veer, K., Sharma, T.: Comparative study of wavelet denoising in myoelectric control applications. J. Med. Eng. Technol. 40(3), 80–86 (2016)
Singh, S., Sohal, J.S.: Wavelets based wireless VOIP and its future scenario. In: ICAET-2016; MATEC Web of Conferences 57, pp. 01013, (2016). https://doi.org/10.1051/matecconf/20165701013
Singh, S., Sohal, J.S.: Performance analysis of data transmission over wireless VOIP using wavelets. Indian J. Sci. Technol. (IJST) 10(18) (2017). https://doi.org/10.17485/ijst/2017/v10i18/112805
Singh, S., Sohal, J.S.: Wavelet based image transmission analysis for wireless VOIP. Int. J. Recent Innov. Trends Comput. Commun. (IJRITCC) 5(5), 622–627 (2017). ISSN: 2321–8169
IEEE Std 802.11-1999, Part 11: Wireless LAN MAC and Physical Layer specifications. Reference number ISO/IEC 8802-11 (1999)
Trad, A., Ni, Q., Afifi, H.: Adaptive VoIP Transmission over Heterogeneous Wired/Wireless Networks
Veeraraghavan, M., Cocker, N., Moors, T.: Support of voice services in IEEE 802.11 wireless LANs. In: Proceedings of INFOCOM 2001, Alaska (2001)
Chen, D.Y., Garg, S., Kappes, M., Trivedi, K.S.: Supporting VBR VoIP traffic with IEEE 802.11 WLAN in PCF mode. In: Proceedings of OPNETWork 2002, Washington D.C. (2002)
IEEE 802.11e/D4.0.: Wireless MAC and Physical Layer specifications: MAC Enhancements for QoS (2002)
ITU-T.: One-Way Transmission Time. Recommendation G.114 (1996)
Karam, M., Tobagi, F.: Analysis of the delay and jitter of voice traffic over the internet. In: Proceedings of IEEE INFOCOM’01, Anchorage, AL (2001)
Floyd, S., Fall, K.: Promoting the use of end-to-end congestion control. In: Internet. IEEE/ACM Transactions on Networking (1999)
Floyd, S., Handley, M., Padhye, J., Widmer, J.: Equation-based congestion control for unicast applications. In: Proceedings of ACM SIGCOMM’2000, pp. 43–56, Stockholm, Sweden (2000)
Bagal, N., Pandita, S.: Transmission of audio over wireless networks using raspberry Pi in real-time. Int. J. Innov. Res. Sci. Eng. Technol. 4(9) (2015)
Paxson, V.: End-to-end internet packet dynamics. IEEE/ACM Trans. Netw. 7(3), 277–229 (1999)
Arai, M., Chiba, A., Iwasaki, K.: Measurement and modeling of burst packet losses in internet end-to-end communications. In: Pacific Rim International Symposium on Dependable Computing (PRDC), pp. 260–267 (1999)
Bolot, J.: End-to-end packet delay and loss behavior in the Internet. In: ACM Signal communication, pp. 289–298, San Francisco CA (1993)
Borella, M., Swider, D., Uludag, S., Brewster, G.: Internet packet loss: measurement and implications for end-to-end QoS. In: Proceedings, International Conference on Parallel Processing (1998)
Maxemchuk, N.F., Lo, S.: Measurement and interpretation of voice traffic on the internet. In: Proceedings ICC, Montreal, Canada (1997)
Bolot, J., Vega-Garcia, A.: Control mechanisms for packet audio in the internet. In: Proceedings IEEE Infocom, San Francisco, CA, pp 232–239 (1996)
Hagsand, O., Hanson, K., Marsh, I.: Measuring internet telephony quality: where are we today?. In: Global communication of Telecommunications Conference—Globecomm ’99
Mohamed, S., Cervantes-Perez, F., Afifi, H.: Integrating network measurements and speech quality subjective scores for control purposes. In: IEEE Infocom (2001)
Roychoudhuri, L., Al-Shaer, E., Hamed, H., Brewster, G.B.: On studying the impact of the internet delays on audio transmission. In: IEEE IP Operations and Management (IPOM), Dallas, TX (2002)
Borella, M., Swider, S., Uludag, S., Brewster, G.: Internet packet loss: measurement and implications for end-to-end QoS. In: Proceedings, International Conference on Parallel Processing (1998)
Mena, A., Heidemann, J.: An empirical study of real audio traffic. In: IEEE Infocom (2000)
Acknowledgements
The authors are grateful to ECE Department of UIET, Punjab University, Sec-25, Chandigarh-160014 (India), for providing the basic facilities during research work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Singh, S., Gupta, A., Sohal, J.S., Veer, K. (2020). Audio Transmission Over Wavelet-Based Wireless VoIP. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_71
Download citation
DOI: https://doi.org/10.1007/978-981-15-0751-9_71
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0750-2
Online ISBN: 978-981-15-0751-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)