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Effectiveness of Speech Demodulation-Based Features for Replay Detection.

, , and . INTERSPEECH, page 641-645. ISCA, (2018)

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Combining Evidence from Temporal and Spectral Features for Person Recognition Using Humming., , , and . PerMIn, volume 7143 of Lecture Notes in Computer Science, page 321-328. Springer, (2012)Significance of Teager Energy Operator Phase for Replay Spoof Detection., and . APSIPA, page 1951-1956. IEEE, (2018)A novel filtering-based F0 estimation algorithm with an application to voice conversion., , and . APSIPA, page 1528-1531. IEEE, (2017)Analysis of Features and Metrics for Alignment in Text-Dependent Voice Conversion., and . PReMI, volume 10597 of Lecture Notes in Computer Science, page 299-307. Springer, (2017)Novel Teager Energy Based Subband Features for Audio Acoustic Scene Detection and Classification., , , and . PReMI (2), volume 11942 of Lecture Notes in Computer Science, page 436-444. Springer, (2019)Speech Demodulation-based Techniques for Replay and Presentation Attack Detection., , , , , and . APSIPA, page 1545-1550. IEEE, (2019)Effectiveness of fundamental frequency (F0) and strength of excitation (SOE) for spoofed speech detection., and . ICASSP, page 5105-5109. IEEE, (2016)Quality assessment of voice converted speech using articulatory features., , , and . ICASSP, page 5515-5519. IEEE, (2017)Effectiveness of multiscale fractal dimension-based phonetic segmentation in speech synthesis for low resource language., , and . IALP, page 103-106. IEEE, (2014)Replay spoof detection using energy separation based instantaneous frequency estimation from quadrature and in-phase components., , and . Comput. Speech Lang., (2023)