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Quality assessment of voice converted speech using articulatory features.

, , , and . ICASSP, page 5515-5519. IEEE, (2017)

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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)The Teager Energy Based Features for Identification of Identical Twins in Multi-lingual Environment., and . ICONIP, volume 3316 of Lecture Notes in Computer Science, page 333-337. Springer, (2004)Mspec-Net : Multi-Domain Speech Conversion Network., , , , and . ICASSP, page 7764-7768. IEEE, (2020)Replay spoof detection using energy separation based instantaneous frequency estimation from quadrature and in-phase components., , and . Comput. Speech Lang., (2023)Query-By-Example Spoken Term Detection Using Generative Adversarial Network., , , , and . APSIPA, page 644-648. IEEE, (2020)Teager Energy Subband Filtered Features for Near and Far-Field Automatic Speech Recognition., , , , , and . APSIPA ASC, page 491-496. IEEE, (2021)Modified Group Delay Features for Emotion Recognition., , and . PReMI, volume 14301 of Lecture Notes in Computer Science, page 321-330. Springer, (2023)Cross-Teager Energy Cepstral Coefficients for Replay Spoof Detection on Voice Assistants., , , and . ICASSP, page 6364-6368. IEEE, (2021)Analysis of Time-Averaged Feature Extraction Techniques on Infant Cry Classification., , and . SPECOM, volume 13721 of Lecture Notes in Computer Science, page 590-603. Springer, (2022)