Publications

Google Scholar (Phillip DeLeon) | Signal Processing (Publication Metrics)

Some material on this web page is copyrighted by the ACM, Elsevier, IEEE, MDPI, and Springer. For applicable papers:

©199x/20xx IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.


89. A. Sankar, P. L. De Leon, and U. Roedig, “A Performance Metric for Joint Evaluation of Spoofing Detection and Speaker Identification in Voice Assistants,” in review IEEE Trans. Audio, Speech, and Language Proc, 2024
[ Paper | ACM DL ]

88. A. Sankar, P. L. De Leon, and U. Roedig, “Spoofing Detection for Personal Voice Assistants,” Proc. Int. Workshop on Security and Privacy of Sensing Systems (Sensors S&P), 2023. DOI: 10.1145/3628356.3630114
Paper | ACM DL ]

87. S. Smith, S. Sandoval, T. Schaub, and P. L. De Leon, “Practical Implementation of Instantaneous Frequency Mass Spectrometry,” IEEE Int. Midwest Symposium on Circuits and Systems (MWSCAS), 2023. DOI: 10.1109/MWSCAS57524.2023.10406098
Paper ]

86. A. Sankar, P. L. De Leon, and U. Roedig “Detection of Voice Conversion Spoofing Attacks using Voiced Speech,” Proc. Nordic Conference on Secure IT Systems (NordSec), 2022. DOI: 10.1007/978-3-031-22295-5_9
Paper | Springer ]

85. A. Sankar, P. L. De Leon, S. Sandoval, and U. Roedig, “Low-Complexity Speech Spoofing Detection using Instantaneous Spectral Features,” Proc. IEEE Int. Conf. Systems, Signals and Image Processing (IWSSIP), 2022. DOI: 10.1109/IWSSIP55020.2022.9854446
Paper | IEEE Xplore ]

84. S. Sandoval and P. L. De Leon, “Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum,” Entropy, vol. 24, no. 4, Apr. 2022. DOI: 10.3390/e24040518
Paper | MDPI ]

83. A. Bucker Siddik, D. Drake, T. Wilkinson, P. L. De Leon, S. Sandoval, and M. Campos, “WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device Fingerprint Research,” Proc. IEEE Int. Symp. Technol. Homel. Secur. (HST), 2021. DOI: 10.1109/HST53381.2021.9619843
Paper | IEEE Xplore ]

82. S. Sandoval, M. Bredin, P. L. De Leon, and S. Terrazas, “Controlling the Operating Point of Complex Empirical Mode Decomposition,” Proc. IEEE Int. Midwest Symposium on Circuits and Systems (MWSCAS), 2020. DOI: 10.1109/MWSCAS48704.2020.9184467
Paper | IEEE Xplore ]

81. A. Bucker Siddik, D. Drake, T. Wilkinson, P. L. De Leon, S. Sandoval, and M. Campos, “WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device Fingerprint Research,” Zenodo, Oct. 2020. DOI: 10.5281/zenodo.4116383
Data ]

80. M. Martinez and P. L. De Leon, “Falls Risk Classification of Older Adults Using Deep Neural Networks and Transfer Learning,” IEEE J. Biomed. Health Inform., vol. 24, no. 1, pp. 144-150, Jan. 2020. DOI: 10.1109/JBHI.2019.2906499
Paper | IEEE Xplore ]

79. M. Martinez, P. L. De Leon, and D. Keeley, “Bayesian Classification of Falls Risk,” Gait & Posture, vol. 67, pp. 99-103, Jan. 2019. DOI: 10.1016/j.gaitpost.2018.09.028
Paper | Elsevier ]

78. S. Sandoval and P. L. De Leon, “The Instantaneous Spectrum: A General Framework for Time-Frequency Analysis,” IEEE Trans. Sig. Process., vol. 66, no. 21, pp. 5679-5693, Nov. 2018. DOI: 10.1109/TSP.2018.2869121
Paper | IEEE Xplore | ISA Code ]

77. S. Sandoval, M. Bredin, and P. L. De Leon, “Using Linear Prediction to Mitigate End Effects in Empirical Mode Decomposition,” Proc. IEEE GlobalSIP, 2018. DOI: 10.1109/GlobalSIP.2018.8646563
Paper | IEEE Xplore ]

76. S. Sandoval, M. Bredin, and P. L. De Leon, “Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model,” Proc. IEEE GlobalSIP, 2018. DOI: 10.1109/GlobalSIP.2018.8646708
Paper | IEEE Xplore ]

75. J. Yamagishi, T. H. Kinnunen, N. Evans, P. De Leon, and I. Trancoso, “Introduction to the Issue on Spoofing and Countermeasures for Automatic Speaker Verification,” IEEE J. Sel. Topics Signal Process., vol. 11, issue 4, pp. 585-587, Jun. 2017. DOI: 10.1109/JSTSP.2017.2698143
Paper | IEEE Xplore ]

74. S. Sandoval and P. L. De Leon, “Advances in Empirical Mode Decomposition for Computing Instantaneous Amplitudes and Instantaneous Frequencies,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), 2017. DOI: 10.1109/ICASSP.2017.7952970
Paper | IEEE Xplore ]

73. M. Martinez, P. L. De Leon, and D. Keeley, “Novelty Detection for Predicting Falls Risk using Smartphone Gait Data,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), 2017. DOI: 10.1109/ICASSP.2017.7952547
Paper | IEEE Xplore ]

72. M. Martinez and P. L. De Leon,”Unsupervised Segmentation and Labeling for Smartphone Acquired Gait Data,” Proc. Int. Telemetering Conf., 2016.
Paper ] [Several minor typos have been corrected]

71. M. Biswal, Y. Hao, P. Chen, S. Brahma, H. Cao, and P. De Leon, “Signal Features for Classification of Power System Disturbances using PMU Data,” Proc. Power Systems Computation Conference (PSCC), 2016. DOI: 10.1109/PSCC.2016.7540867
Paper | IEEE Xplore ]

70. Z. Wu, P. L. De Leon, C. Demiroglu, A. Khodabakhsh, S. King, Z. Ling, D. Saito, B. Stewart, T. Toda, M. Wester, and J. Yamagishi, “Anti-Spoofing for Text-Independent Speaker Verification: An Initial Database, Comparison of Countermeasures, and Human Performance,” IEEE Trans. Audio, Speech, and Language Proc., vol. 24, no. 4, pp. 768-783, Apr. 2016. DOI: 10.1109/TASLP.2016.2526653
Paper | IEEE Xplore ]

69. S. Sandoval, P. L. De Leon, and J. M. Liss, “Hilbert Spectral Analysis of Vowels using Intrinsic Mode Functions,” Proc. IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2015. DOI: 10.1109/ASRU.2015.7404846
Paper | IEEE Xplore ] [A typo in Equation (4) has been corrected]

68. M. Martinez and P. L. De Leon, ” A Smartphone-Based Gait Data Collection System for the Prediction of Falls in Elderly Adults,” Proc. Int. Telemetering Conf., 2015.
Paper ]

67. R. McClanahan and P. L. De Leon, “Reducing Computation in an i-Vector Speaker Recognition System using a Tree-Structured Universal Background Model,” Speech Communication, vol. 66, pp. 36-46, Feb. 2015. DOI: 10.1016/j.specom.2014.07.003
Paper | Elsevier ]

66. G. Hinojos and P. L. De Leon, “Face Recognition using Distributed, Mobile Computing,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), pp. 2179-2183, 2014. DOI: 10.1109/ICASSP.2014.6853985
Paper | IEEE Xplore ]

65. R. D. McClanahan, B. Stewart, and P. L. De Leon, “Performance of i-Vector Speaker Verification and the Detection of Synthetic Speech,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), pp. 3779-3783, 2014. DOI: 10.1109/ICASSP.2014.6854308
Paper | IEEE Xplore ]

64. R. D. McClanahan and P. L. De Leon, “Towards a More Efficient SVM Supervector Speaker Verification System using Gaussian Reduction and a Tree-Structured Hash,” Proc. INTERSPEECH, pp. 3670-3673, 2013. DOI: 10.21437/Interspeech.2013-688
Paper ]

63. P. L. De Leon and S. Sanchez, “Voice Activity Detection using a Sliding-Window, Maximum Margin Clustering Approach,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), pp. 6674-6678, 2013. DOI: 10.1109/ICASSP.2013.6638953
Paper | IEEE Xplore ]

62. P. L. De Leon and B. Stewart, “Synthetic Speech Detection based on Selected Word Discriminators,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), pp. 3004-3008, 2013. DOI: 10.1109/ICASSP.2013.6638209
Paper | IEEE Xplore ]

61. P. L. De Leon, M. Pucher, J. Yamagishi, I. Hernaez, and I. Saratxaga, “Evaluation of Speaker Verification Security and Detection of HMM-Based Synthetic Speech,” IEEE Trans. Audio, Speech, and Language Proc., vol. 20, no. 8, pp. 2280-2290, Oct. 2012.  DOI: 10.1109/TASL.2012.2201472
Paper | IEEE Xplore ]

60. L. E. Boucheron and P. L. De Leon, “Low-SNR, Speaker-Dependent Speech Enhancement using GMMs and MFCCs,” Proc. INTERSPEECH, 2012.
Paper ]

59. R. D. McClanahan and P. L. De Leon, “Mixture Component Clustering for Efficient Speaker Verification,” Proc. INTERSPEECH, 2012.
Paper ]

58. P. L. De Leon, B. Stewart, and J. Yamagishi, “Synthetic Speech Discrimination using Pitch Pattern Statistics Derived from Image Analysis,” Proc. INTERSPEECH, 2012.
Paper ]

57. L. E. Boucheron, P. L. De Leon, and S. Sandoval, “Low Bit-Rate Speech Coding through Quantization of Mel-Frequency Cepstral Coefficients,” IEEE Trans. Audio, Speech, and Language Proc., vol. 20, no. 2, pp. 610-619, Feb. 2012. DOI: 10.1109/TASL.2011.2162407
IEEE Xplore | MFCC Coding Demo.zip | MFCC Coding Demo2.zip ]

56. P. L. De Leon, I. Hernaez, I. Saratxaga, M. Pucher, and J. Yamagishi, “Detection of Synthetic Speech for the Problem of Imposture,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), pp. 4844-4847, 2011. DOI: 10.1109/ICASSP.2011.5947440
IEEE Xplore ] [A minor typo in Equation (2) has been corrected]

55. L. E. Boucheron, P. L. De Leon, S. Sandoval, “Hybrid Scalar/Vector Quantization of Mel-Frequency Cepstral Coefficients for Low Bit-Rate Coding of Speech,” Proc. Data Compression Conf. (DCC), pp. 103-112, 2011. DOI: 10.1109/DCC.2011.17
Paper | IEEE Xplore ]

54. V. R. Apsingekar and P. L. De Leon, “Speaker Verification Score Normalization Using Speaker Model Clusters,” Speech Communication, vol. 53, no. 1, pp. 110-118, Jan. 2011. DOI: 10.1016/j.specom.2010.07.001
Paper | Elsevier ]

53. P. L. De Leon, M. Pucher, and J. Yamagishi, “Evaluation of the Vulnerability of Speaker Verification to Synthetic Speech,” Proc. IEEE Speaker and Language Recognition Workshop (Odyssey), pp. 151-158, 2010.
Paper ]

52. P. L. De Leon, V. R. Apsingekar, M. Pucher, and J. Yamagishi, “Revisiting the Security of Speaker Verification Systems Against Imposture Using Synthetic Speech,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), pp. 1798-1801, 2010. DOI: 10.1109/ICASSP.2010.5495413
Paper | IEEE Xplore ]

51. V. R. Apsingekar and P. L. De Leon, “Support Vector Machine Based Speaker Identification Systems Using GMM Parameters,”  Proc. Asilomar Conf. on Signals, Systems and Computers, pp. 1766-1769, 2009. DOI: 10.1109/ACSSC.2009.5470201
Paper | IEEE Xplore ]

50. S. M. Brahma, P. L. De Leon, and R. G. Kavasseri, “Investigating the Option of Removing Anti-Aliasing Filter From Digital Relays,” IEEE Trans. Power Delivery, vol. 24, no. 4, pp. 1864-1868, Oct. 2009. DOI: 10.1109/TPWRD.2009.2028802
Paper | IEEE Xplore ]

49. M. Ries, B. Gardlo, M. Rupp, and P. De Leon, “Low-Complexity Voice Detector for Mobile Environments,” Proc. Int. Conf. on Systems, Signals & Image Processing (IWSSIP), pp. 1-4, 2009. DOI: 10.1109/IWSSIP.2009.5367791
Paper | IEEE Xplore ]

48. A. Akula, V. Apsingekar, and P. L. De Leon, “Speaker Identification in Room Reverberation using GMM-UBM,” Proc. IEEE DSP Workshop, pp. 37-41, 2009. DOI: 10.1109/DSP.2009.4785892
Paper | IEEE Xplore ]

47. V. R. Apsingekar and P. L. De Leon, “Speaker Model Clustering for Efficient Speaker Identification in Large Population Applications,” IEEE Trans. Audio, Speech, and Language Proc., vol. 17, no. 4, pp. 848-853, May 2009. DOI: 10.1109/TASL.2008.2010882
Paper | IEEE Xplore ] [A minor typo in Equation (11) has been corrected]

46. V. R. Apsingekar and P. L. De Leon, “Efficient Speaker Identification using Distributional Speaker Model Clustering,” Proc. Asilomar Conf. Signals, Systems and Computers, pp. 1260-1264, 2008. DOI: 10.1109/ACSSC.2008.5074619
Paper | IEEE Xplore ]

45. K. Ravulakollu, V. R. Apsingekar, and P. L. De Leon, “Efficient Speaker Verification System using Speaker Model Clustering for T- and Z-Normalizations,” Proc. Int. Carnahan Conf. on Security Technology (ICCST), pp. 56-62, 2008. DOI: 10.1109/CCST.2008.4751277
Paper | IEEE Xplore ]

44. L. E. Boucheron and P. L. De Leon, “On the Inversion of Mel-Frequency Cepstral Coefficients for Speech Enhancement Applications,” Proc. Int. Conf. Signals and Electronic Systems (ICSES), pp.485-488, 2008. DOI: 10.1109/ICSES.2008.4673475
Paper | IEEE Xplore ]

43. A. Akula and P. L. De Leon, “Compensation for Room Reverberation in Speaker Identification,” Proc. European Signal Processing Conf. (EUSIPCO), 2008.
Paper | IEEE Xplore ]

42. V. R. Apsingekar and P. L. De Leon, “Efficient Speaker Identification using Speaker Model Clustering,” Proc. European Signal Processing Conf. (EUSIPCO), 2008. DOI: 10.1109/ACSSC.2008.5074619
Paper  | IEEE Xplore ]

41. A. Daga, G. R. Lovelace, D. K. Borah, and P. L. De Leon, “Terrain-Based Simulation of IEEE 802.11a and b Physical Layers on the Martian Surface,” IEEE Trans. Aerosp. Electron. Syst., vol. 43, no. 4, pp. 1617-1624, Oct. 2007. DOI: 10.1109/TAES.2007.4441762
Paper | IEEE Xplore ]

40. V. Apsingekar and P. L. De Leon, “Reducing Speaker Model Search Space in Speaker Identification,” Proc. Biometrics Sym., pp. 1-6, 2007. DOI: 10.1109/BCC.2007.4430544
Paper | IEEE Xplore ]

39. P. L. De Leon and A. L. Trevizo, “Speaker Identification in the Presence of Room Reverberation,” Proc. Biometrics Sym., pp. 1-6, 2007. DOI: 10.1109/BCC.2007.4430533
Paper | IEEE Xplore ]

38. A. Daga, D. K. Borah, G. R. Lovelace and P. De Leon, “Physical Layer Effects on MAC Layer Performance of IEEE 802.11 a and b WLAN on the Martian Surface,” Proc. IEEE Aerospace Conf., 2006. DOI: 10.1109/AERO.2006.1655780
Paper | IEEE Xplore ]

37. S. Berner and P. L. De Leon, “Subband Transforms for Adaptive, RLS Direct Sequence Spread Spectrum Receivers,” IEEE Trans. Signal Proc., vol. 53, no. 10, pp. 3773-3779, Oct. 2005. DOI: 10.1109/TSP.2005.855111
Paper | IEEE Xplore ]

36. V. Chukkala, P. De Leon, S. Horan, and V. Velusamy, “Radio Frequency Channel Modeling for Proximity Networks on the Martian Surface,” Computer Networks (Elsevier), Vol. 47, Issue 5, pp. 751-763, Apr. 2005. DOI: 10.1016/j.comnet.2004.08.011
Paper | Elsevier]

35. D. K. Borah, A. Daga, G. R. Lovelace and P. De Leon, “Performance Evaluation of the IEEE 802.11a and b WLAN Physical Layer on the Martian Surface,” Proc. IEEE Aerospace Conf., pp. 1429-1437, 2005. DOI: 10.1109/AERO.2005.1559433
Paper | IEEE Xplore ]

34. V. Chukkula and P. De Leon, “Simulation and Analysis of the Multipath Environment of Mars,” Proc. IEEE Aerospace Conf., pp. 1678-1683, 2005. DOI: 10.1109/AERO.2005.1559461
Paper | IEEE Xplore ]

33. D. K. Borah and P. De Leon, “Speaker Identification in the Presence of Packet Losses,” Proc. IEEE DSP Workshop, pp. 302-306, 2004. DOI: 10.1109/DSPWS.2004.1437963
Paper | IEEE Xplore ]

32. J. San Filippo and P. DeLeon, “Evaluation of Spherically Invariant Random Process Parameters as Discriminators for Speaker Identification,” Proc. IEEE DSP Workshop, pp. 307-310, 2004. DOI: 10.1109/DSPWS.2004.1437964
Paper | IEEE Xplore ]

31. V. Chukkula, P. De Leon, S. Horan, and V. Velusamy, “Modeling the Radio Frequency Environment of Mars for Future Wireless, Networked Rovers and Sensor Webs,” Proc. IEEE Aerospace Conf., vol. 2, pp. 1329-1336, 2004. DOI: 10.1109/AERO.2004.1367731
Paper | IEEE Xplore ]

30. R. Lyman, Q. Wang, P. De Leon, and S. Horan , “Transmission Parameter Estimation for an Autoconfigurable Receiver,” Proc. IEEE Aerospace Conf., vol. 2, pp. 1305-1311, 2004. DOI: 10.1109/AERO.2004.1367728
Paper | IEEE Xplore ]

29. P. De Leon, Q. Wang, S. Horan, and R. Lyman, “A Design for Satellite Ground Station Receiver Autoconfiguration,” Proc. Int. Telemetering Conf., 2003.
Paper ]

28. A. Cahill, P. De Leon, C. Sreenan, “Link Cache Extensions for predictive Routing and Repair in Ad Hoc Wireless Networks,” Proc. IEEE Conf. Mobile and Wireless Communications Networks (MWCN), pp. 53-57, 2002. DOI: 10.1109/MWCN.2002.1045695
Paper | IEEE Xplore ]

27. N. Chen and P. De Leon, “Blind Image Separation through Kurtosis Maximization,” Proc. Asilomar Conf. Signals, Systems and Computers, vol. 1, pp. 318-322, 2001. DOI: 10.1109/ACSSC.2001.986936
Paper | IEEE Xplore ]

26. S. Berner and P. De Leon, “Subband Transforms for Adaptive Direct Sequence Spread Spectrum Receivers,” Proc. Asilomar Conf. Signals, Systems and Computers, vol. 2, pp. 1103-1107, 2001. DOI: 10.1109/ACSSC.2001.987664
Paper | IEEE Xplore ]

25. P. De Leon and Y. Ma, “Blind Separation of L Sources from M Mixtures of Speech Signals,” Proc. Meeting of the Acoustical Society of America, 2000. DOI: 10.1121/1.4743790
Paper ]

24. P. De Leon and Y. Ma, “Blind Source Separation of Mixtures of Speech Signals with Unknown Propagation Delays,” Proc. Meeting of the Acoustical Society of America, 2000. DOI: 10.1121/1.4743789
Paper ]

23. P. De Leon and Y. Ma, “Normalized, HOS-Based, Blind Speech Separation Algorithms,” Proc. Asilomar Conf. Signals, Systems and Computers, vol. 2, pp. 1197-1201, 2000. DOI: 10.1109/ACSSC.2000.910753
Paper | IEEE Xplore ]

22. S. Berner and P. De Leon, “Parallel Digital Architectures for High-Speed Adaptive DSSS Receivers,” Proc. Asilomar Conf. Signals, Systems and Computers, vol. 2, pp. 1298-1302, 2000. DOI: 10.1109/ACSSC.2000.910772
Paper | IEEE Xplore ]

21. P. De Leon, “Short-Time Kurtosis of Speech Signals with Application to Co-Channel Speech Separation,” Proc. IEEE Int. Conf. Multimedia and Expo (ICME), vol. 2, pp. 831-833, 2000. DOI: 10.1109/ICME.2000.871489
Paper | IEEE Xplore ]

20. P. De Leon, “Computer Music in Undergraduate Digital Signal Processing,” Proc. American Society for Engineering Education/Gulf Southwestern Region, 2000.
Paper ]

19. P. L. De Leon, W. Kober, K. Krumvieda, and J. Thomas, “Subband Kalman Filtering with Applications to Target Tracking,” Proc. Int. Conf. Signal Proc. Applications & Technologies (ICSPAT), 1999.
Paper ]

18. P. L. De Leon and B. J. Scaife, “Spread Spectrum Carrier Estimation with Unknown Doppler Shift,” Proc. Int. Conf. Signal Proc. Applications & Technologies (ICSPAT), 1999.
Paper ]

17. S. Berner and P. L. De Leon, “FPGA-Based Filterbank Implementation for Parallel Digital Signal Proc.,” Proc. NASA Sym. on VLSI Design, 1999.
Paper ]

16. P. De Leon and H. Jiang, “Parameter Distributions for Speech Signals Modelled with Spherically Invariant Random Processes,” Proc. Midwest Sym. Circuits and Systems, vol. 1, pp. 245-248, 1999. DOI: 10.1109/MWSCAS.1999.867253
Paper | IEEE Xplore ]

15. P. L. De Leon and C. J. Sreenan, “An Adaptive Predictor for Media Playout Buffering,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), vol. 6, pp. 3097-3100, 1999. DOI: 10.1109/ICASSP.1999.757496
Paper | IEEE Xplore ]

14. B. Scaife and P. L. De Leon, “Doppler Shifted Spread Spectrum Carrier Recovery Using Real-Time DSP Techniques,” Proc. Int. Telemetering Conf., 1998.
Paper ]

13. P. L. De Leon, “On the Use of Filter Banks for Parallel Digital Signal Processing,” Proc. NASA Sym. on VLSI Design, 1998.
Paper ]

12. J. P. LeBlanc and P. L. De Leon, “Speech Separation by Kurtosis Maximization,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), vol. 2, pp. 1029-1032, 1998. DOI: 10.1109/ICASSP.1998.675443
Paper | IEEE Xplore ]

11. P. L. De Leon, “Building a Real-Time Digital Signal Processing Course and Teaching Laboratory,” Proc. American Society for Engineering Education/Gulf Southwestern Region, 1998.
Paper ]

10. E. S. Otto and P. L. De Leon, “Digital CPFSK Transmitter and Noncoherent Receiver/Demodulator Implementation,” Proc. Int. Telemetering Conf., 1997.
Paper ]

9. J. P. LeBlanc and P. L. De Leon, “Source Separation of Speech Signals using Kurtosis Maximization,” Proc. Allerton Conf. Communications, Control, and Computing, 1997.
Paper ]

8. P. L. De Leon, “Real-Time DSP-Based Carrier Recovery With Unknown Doppler Shift,” Proc. Int. Conf. Signal Proc. Applications & Technologies (ICSPAT), 1997.
Paper ]

7. P. L. De Leon, “Optimization of the LMS Subband, Adaptive Filter System,” Proc. Int. Conf. Signal Proc. Applications & Technologies (ICSPAT), 1997.
Paper ]

6. P. L. De Leon and D. M. Etter, “Experimental results of subband acoustic echo cancelers under spherically invariant random processes,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), vol. 2, pp. 961-964, 1996. DOI: 10.1109/ICASSP.1996.543282
Paper | IEEE Xplore ]

5. P. L. De Leon and D. M. Etter, “Examining the effects of room response in oversampled, subband acoustic echo cancelers,” Proc. Asilomar Conf. Signals, Systems and Computers, vol. 1, pp. 464-467, 1995. DOI: 10.1109/ACSSC.1995.540592
Paper | IEEE Xplore ]

4. P. L. De Leon and D. M. Etter, “Mean square error calculations for the subband adaptive filter system,” Proc. IEEE Workshop Applications Signal Proc. to Audio and Acoustics, pp. 107-110, 1995. DOI: 10.1109/ASPAA.1995.482969
Paper | IEEE Xplore ]

3. P. L. De Leon and D. M. Etter, “Experimental results with increased bandwidth analysis filters in oversampled subband acoustic echo cancelers,” IEEE SP Letters, vol. 2, no. 1, pp.1-3, Jan. 1995. DOI: 10.1109/97.365516
Paper | IEEE Xplore ]

2. P. L. De Leon and D. M. Etter, “Experimental results of a modified architecture for oversampled, subband acoustic echo cancelers,” Proc. IEEE DSP Workshop, pp. 294-296, 1994. DOI: 10.1109/DSP.1994.379819
Paper | IEEE Xplore ]

1. P. L. De Leon and D. M. Etter, “On the design of analysis/synthesis filters for a 2-channel, perfect reconstruction filter bank,” Proc. NAECOM, vol. 1, pp. 94-100, 1993. DOI: 10.1109/NAECON.1993.290900
Paper | IEEE Xplore ]

Book

Co-authored chapter 7 “Speaker Recognition Anti-Spoofing” with Nicholas Evans, Tomi Kinnunen, Junichi Yamagishi, Zhizheng Wu, Federico Alegre, and Phillip De Leon in Handbook of Biometric Anti-Spoofing, edited by Sébastien Marcel, Mark Nixon, and Stan Z. Li, Springer, 2014. DOI: 10.1007/978-1-4471-6524-8
Info ]

Co-authored chapter 11 with Delores M. Etter in Subband and Wavelet Transforms: Design and Applications edited by Ali Akansu and Mark J. T. Smith, Kluwer Academic Publishers, 1995.
Paper ]