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Deterministic annealing EM algorithm for developing TTS system in Gujarati.

, , , , and . ISCSLP, page 526-530. IEEE, (2014)

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Significance of Source-Filter Interaction for Classification of Natural vs. Spoofed Speech., and . J. Sel. Topics Signal Processing, 11 (4): 644-659 (2017)Novel Subband Autoencoder Features for Detection of Spoofed Speech., , and . INTERSPEECH, page 1820-1824. ISCA, (2016)Chaotic mixed excitation source for speech synthesis., and . INTERSPEECH, page 785-789. ISCA, (2014)Nonlinear prediction of speech signal using volterra-wiener series., and . INTERSPEECH, page 1687-1691. ISCA, (2013)A novel filtering based approach for epoch extraction., , and . ICASSP, page 4784-4788. IEEE, (2015)Analysis of natural and synthetic speech using Fujisaki model., and . ICASSP, page 5250-5254. IEEE, (2016)A Novel Gaussian Filter-Based Automatic Labeling of Speech Data for TTS System in Gujarati Language., , , , and . IALP, page 139-142. IEEE, (2013)Novel Nonlinear Prediction Based Features for Spoofed Speech Detection., , and . INTERSPEECH, page 155-159. ISCA, (2016)Native Language Identification Using Spectral and Source-Based Features., , , , , and . INTERSPEECH, page 2383-2387. ISCA, (2016)Algorithms for speech segmentation at syllable-level for text-to-speech synthesis system in Gujarati., , , , , , , , , and . O-COCOSDA/CASLRE, page 1-7. IEEE, (2013)