Abstract
Toll quality speech codec design with a low bit rate is really a challenging task in modern communication because of the drastic increase in end-users in social networks. Most of the low bit rate speech codecs are based on linear prediction. The code-excited linear prediction codec (CELP) gives good quality decoded speech at a lower bit rate of 4.8 Kbps. But, it neglects the natural nonlinear effects present in speech production process. So, some adaptive techniques are to be used to make the system nonlinear to perform better than linear prediction speech codecs. An adaptive technique with nonlinear prediction of speech, based on truncated Volterra series, is used to generate the nonlinear prediction coefficients. The generated nonlinear prediction coefficients are implemented in G723.1 CELP codec to introduce code-excited nonlinear prediction (CENLP) codec. Advancements in the performance are evaluated using subjective and objective quality measures and compared with the normal G723.1 CELP codec.
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
Makhoul J (1975) Linear prediction: a tutorial review. Proc IEEE 63:561–580
Schroeder M, Atal B (1985) Code-excited linear prediction (CELP): high-quality speech at very low bit rates. In: IEEE international conference on acoustics, speech, and signal processing, vol 10, pp 937–940
Chen J-H, Cox RV, Lin YC, Jayant N, Melchner MJ (1992) A low-delay CELP coder for the CCITT 16 Kb/s speech coding standard. IEEE J Sel Areas Commun 10(5):830–849
McCree A, Truong K, George EB, Barnwell TP, Viswanathan V (1996) A 2.4 Kb/s MELP coder candidate for U. S. Federal Standard. In: IEEE international conference on acoustics, speech and signal processing, vol 1, pp 200–203
ITU-I Rec. G.729 (1996) Coding of speech at 8 kbps using conjugate-structure algebraic-code-excited linear prediction (CS-ACELP)
Despotović V, Perić Z (2013) Design of nonlinear predictors for adaptive predictive coding of speech signals. In: 2013 21st Telecommunications forum (TELFOR), Serbia, Belgrade, 26–28 Nov 2013
Despotovic V, Goertz N, Peric Z (2012) Nonlinear long-term prediction of speech based on truncated Volterra series. IEEE Trans Audio Speech Lang Process 20(3):1069–1073
Chu WC (2003) Speech coding algorithms: foundation and evolution of standardized coders. Wiley
Despotovic V, Goertz N, Peric Z (2012) Low-order Volterra longterm predictors. In: Proceedings 10th ITG symposium on speech communication, Braunschweig, Germany, Sept 2012, pp 26–28
Despotović V, Görtz N, Perić Z (2012) Improved non-linear long-term predictors based on Volterra filters. Vienna University of Technology, Institute of Telecommunications, Gußhausstr. 25–29, 1040 Vienna
Anselam AS, Pillai SS (2017) Optimization of code excited linear prediction speech coder with PSVQ-genetic codebook. In: 2017 international conference on wireless communications, signal processing and networking (WiSPNET)
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
Anselam, A.S., Pillai, S.S., Sreeni, K.G. (2020). Quality Enhancement of Low Bit Rate Speech Coder with Nonlinear Prediction. In: Jayakumari, J., Karagiannidis, G., Ma, M., Hossain, S. (eds) Advances in Communication Systems and Networks . Lecture Notes in Electrical Engineering, vol 656. Springer, Singapore. https://doi.org/10.1007/978-981-15-3992-3_53
Download citation
DOI: https://doi.org/10.1007/978-981-15-3992-3_53
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3991-6
Online ISBN: 978-981-15-3992-3
eBook Packages: EngineeringEngineering (R0)