Overall performance evaluation of adaptive multi rate 06.90 speech codec based on code excited linear prediction algorithm using MATLAB

Author:

Bhatt Ninad,Kosta Yogeshwar

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference14 articles.

1. Bhatt, N., et al. (2010). Implementation & performance analysis of CELP based GSM AMR Codec using MATLAB. In IEEE conference, CNC 2010, Calicut, India.

2. Falk, T. H., & Chan, W. (2006). Single-ended speech quality measurement using machine learning methods. IEEE Transactions on Audio, Speech, and Language Processing, 14(6), 1935–1947.

3. Grundlehner, B., Lecocq, J., Balan, R., & Rosca, J. (2005). Performance assessment method for speech enhancement systems. In Proc. 1st annu. IEEE BENELUX/DSP valley signal process. symp.

4. Hu, Y., & Loizou, P. (2006a). Subjective comparison of speech enhancement algorithms. In Proc. IEEE int. conf. acoust., speech, signal process. (Vol. 1, pp. 153–156).

5. Hu, Y., & Loizou, P. (2006b). Evaluation of objective measures for speech enhancement. In Proc. inter speech (pp. 1447–1450).

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