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Optimized trellis coded vector quantization of LSF parameters, application to the 4.8?kbps FS1016 speech coder

, , and . Signal Processing, 85 (9): 1675--1694 (September 2005)

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Optimized trellis coded vector quantization of LSF parameters, application to the 4.8?kbps FS1016 speech coder, , and . Signal Processing, 85 (9): 1675--1694 (September 2005)Text dependant speaker recognition using MFCC, LPC and DWT., and . I. J. Speech Technology, 20 (3): 725-740 (2017)Face recognition system using neural network with Gabor and discrete wavelet transform parameterization., and . SoCPaR, page 17-24. IEEE, (2014)MFCC and vector quantization for Arabic fricatives speech/speaker recognition., and . ICMCS, page 284-289. IEEE, (2012)Real time face recognition from video stream using eigen faces., and . Artificial Intelligence and Pattern Recognition, page 75-80. ISRST, (2008)The Articulatory and acoustics Effects of Pharyngeal Consonants on Adjacent Vowels in Arabic Language., , and . ICNLSP, page 73-80. Association for Computational Linguistics, (2021)Performance of End-to-End vs Pipeline Spoken Language Understanding Models on Multilingual Synthetic Voice., , , and . ICAASE, page 1-6. IEEE, (2022)Methodology for Acoustic Characterization of a Labial Constraint in Speech Production., , and . ICISP, volume 7340 of Lecture Notes in Computer Science, page 131-141. Springer, (2012)An Arabic Multi-Domain Spoken Language Understanding System., , , and . ICNLSP, page 49-53. Association for Computational Linguistics, (2019)Friction Sources Characterization for Fricative Consonants of Arabic., and . SIGMAP, page 134-136. SciTePress, (2012)