Skip to main content
Have a personal or library account? Click to login
Estimation of the Fundamental Frequency of the Speech Signal Compressed by G.723.1 Algorithm Applying PCC Interpolation Cover

Estimation of the Fundamental Frequency of the Speech Signal Compressed by G.723.1 Algorithm Applying PCC Interpolation

Open Access
|Aug 2011

References

  1. ITU-T Rec. G.723.1: Dual-rate Speech Coder For Multimedia Communications Transmitting at 5.3 and 6.3 kbit/s, 1996.
  2. KARAPANTAZIS, S.—PAVLIDOU, F. : VoIP: A Comprehensive Survey on a Promising Technology, Computer Networks(2009), 2050-2090.
  3. REGUERA, V.—PALIZA, F.—GODOY, W.—FERNANDEZ, E. : On the Impact of Active Queue Management on VoIP Quality of Service, Computer Communications(2008), 73-87.
  4. KAOSAR, G.—SHELTAMI, T. : Voice Transmission over ad hoc Network Adapting Optimum Approaches to Maximize the Performance, Computer Communications(2009), 634-639.
  5. ZOLGHADR, A.—GOODARZI, E.—MOOSAVINEZHAD, M. : Real-Time Implementation of G.723.1 Speech Coder, Iranian Journal of Information Science and TechnologyNo. 1 (2004), 3-12.
  6. JOEN, B.—KANG, S.—BAEK, S.—SUNG, K. : Filtering of a Dissonant Frequency Based on Improved Fundamental Frequency Estimation for Speech Enhancement, IEICE Trans. FundamentalsNo. 8 (Aug 2003), 2063-2064.
  7. MILIVOJEVIC, Z.—BALANESKOVIC, D. : Enhancement of the Perceptive Quality of the Noisy Speech Signal by Using of DFF-FBC Algorithm, Facta Universitatis, Ser.: Elec. Energ.No. 3 (Dec 2009), 379=-392.
  8. QIU, L.—YANG, H.—KOH, S. : Fundamental Frequency Determination on Instantaneous Frequency Estimation, IEEE Signal Process.(1995), 233-241.
  9. CHEVEIGNE, A.—KAWAHARA, H. : YIN, a Fundamental Frequency Estimator for Speech and Music, J. Acoust. Soc. Am.No. 4 (April 2002), 1917-1930.
  10. MURAKAMI, T.—ISHIDA. Y. : Fundamental Frequency Estimation of Speech Signal Using MUSIC Algorithm, Acoust. Sci. & Tech.(2001), 293-297.
  11. KACHAA,—GRENEZ, F.—BENMAHAMMED, K. : TimeFrequency Analysis and Instantaneous Frequency Estimation Using Two-Sided Linear Prediction, IEEE Signal Processing(2005), 491-503.
  12. KEYS, R. : Cubic Convolution Interpolation for Digital Image Processing, IEEE Trans. Acoust., Speech & Signal Process(1981), 1153-1160.
  13. PARK, K.—SCHOWENGERDT, R. : Image Reconstruction by Parametric Cubic Convolution, Computer Vision, Graphics & Image Processing(1983), 258-272.
  14. REICHENBACH, S. : Two-Dimensional Cubic Convolution, IEEE Transactions on Image ProcessingNo. 8 (Aug 2003), 857-865.
  15. PANG, H.—BAEK, S.—SUNG, K. : Improved Fundamental Frequency Estimation Using Parametric Cubic Convolution, IEICE Trans. Fundamentals(2000), 2747-2750.
  16. MILIVOJEVIC, Z.—MIRKOVIC, D.—MILIVOJEVIC, S. : An Estimate of Fundamental Frequency Using PCC Interpolation - Comparative Analysis, Information Technology and Control(2006), 131-136.
  17. MILIVOJEVIC, Z.—MIRKOVIC, M. : Estimation of the Fundamental Frequency of the Speech Signal Modeled by the SYMPES Method, Int. J. Electron. Commun. (AEÜ)(2009), 200-208.
DOI: https://doi.org/10.2478/v10187-011-0030-2 | Journal eISSN: 1339-309X (formerly 1335-3632) | Journal ISSN: 1335-3632
Language: English
Page range: 181 - 189
Published on: Aug 26, 2011
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services

© 2011 Zoran Milivojević, Darko Brodić, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.