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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)Nonlinear prediction of speech signal using volterra-wiener series., and . INTERSPEECH, page 1687-1691. ISCA, (2013)Chaotic mixed excitation source for speech synthesis., and . INTERSPEECH, page 785-789. ISCA, (2014)Effectiveness of fundamental frequency (F0) and strength of excitation (SOE) for spoofed speech detection., and . ICASSP, page 5105-5109. IEEE, (2016)Novel Variable Length Teager Energy Separation Based Instantaneous Frequency Features for Replay Detection., , , and . INTERSPEECH, page 12-16. ISCA, (2017)Combining evidences from mel cepstral, cochlear filter cepstral and instantaneous frequency features for detection of natural vs. spoofed speech., and . INTERSPEECH, page 2062-2066. ISCA, (2015)Deterministic annealing EM algorithm for developing TTS system in Gujarati., , , , and . ISCSLP, page 526-530. IEEE, (2014)Analysis of natural and synthetic speech using Fujisaki model., and . ICASSP, page 5250-5254. IEEE, (2016)A novel filtering based approach for epoch extraction., , and . ICASSP, page 4784-4788. IEEE, (2015)