Phillip De Leon, PhD

Professor Phillip De Leon's research expertise is in Digital Signal Processing (DSP) including audio and speech processing, adaptive filtering, multirate filterbanks; time-frequency signal analysis and classification; artificial intelligence and machine learning including deep learning; embedded microcontroller/DSP systems and mobile (iOS) application programming. His research has been supported by over $8 million in grants and contracts.

Research history:

• (2025-) Current research includes investigating resilience of watermarked AI-generated speech and attack methods to remove/disable watermarks and methods to secure human speech recordings from advanced tampering.
• (2010- 2023) Among first researchers in the world to investigate speech biometric security, i.e. speaker verification including research into spoofing detection and countermeasures to thwart potential cyber attacks for both GMM-UBM and iVector systems. This field has grown dramatically and is now a major research area, has government- and industry-sponsored annual evaluations, and has matured into the larger field of “deep fakes.”
  
• (2014-) Co-developed new mathematical theory for time-frequency signal analysis known as the “Instantaneous Spectral Analysis” (ISA) which has been mathematically proven to ideally localize energy in the time-frequency plane. Investigated several implementations of ISA including use of Empirical Mode Decomposition (EMD) and have contributed to major improvements in EMD performance.
• (2015-2019) Began new research into using inertial sensors on smartphones and advanced machine learning to assess falls risk in elderly adults. Among first in the world to use deep learning to make predictive assessments on falls risk. Worked to develop entire continuous monitoring and predictive system, i.e. sensor-to-deep learning prediction on a smartphone device.
  
• (2004-2013) Speaker recognition using GMM-UBMs and iVector systems including new algorithm designs improved for performance over lossy networks, performance in echoic and reverberation environments, and fast search algorithms for speaker identification applications.
  
• (2008-2011) Speech enhancement techniques including noise removal using machine learning techniques and feature-based methods for low bit rate speech coding.
  
• (1997-2006) Systems designs for satellite communications including high-speed parallel signal processing using FPGAs, RF propagation models, and 802.11 wireless standards for space applications (in support of NASA contract for the NMSU Center for Telemetry)
  
• (2001-2002) Wireless ad hoc networks and wireless network modeling using Network Simulator (NS2).
  
• (1996-2000) Adaptive filtering with applications to acoustic echo cancellation and blind separation of speech signals from a signal mixture and adaptive playout buffer prediction for VoIP applications.

Ph.D. Electrical Engineering, University of Colorado at Boulder, December 1995

M.S. Electrical Engineering, University of Colorado at Boulder, December 1992

B.A. Mathematics University of Texas at Austin, May 1990

B.S. Electrical Engineering, University of Texas at Austin, December 1989

Professional Activities

Sandia National Laboratories Faculty Fellow 2016-Present

Associate Vice President for Research and Chief Science Officer, New Mexico State University 2019-2022

Associate Dean for Research, College of Engineering, New Mexico State University 2016-2019

Professor, Klipsch School of Electrical and Computer Engineering, New Mexico State University 1996-2022
Visiting Professor, Paris Institute of Technology (ParisTech), Signal and Image Processing Department, Paris, France Apr. - May 2016

Visiting Professor, EURECOM, Multimedia Communications Department, Speech and Audio Processing Research Group, Sophia Antipolis, France Feb. - Mar. 2016

Visiting Professor and U.S.-Austria Fulbright Faculty Scholar, Vienna University of Technology (TU-Wien), School of Electrical Engineering, Institute of Communications and Radio-Frequency Engineering, Vienna, Austria Aug. - Dec. 2008

Visiting Professor, University College Cork, Department of Computer Science, Ireland Jan. - May 2002

 

Patents

United States Patent #9865253, "Synthetic Speech Discrimination Systems and Methods," Inventors: P. L. De Leon and S. Spence, 2018.

United States Patent #8639502, “Speaker Model-Based Speech Enhancement System,” Inventors: L. E. Boucheron and P. L. De Leon, Jan. 2014.

United States Patent #7948420, "Eliminating the use of Anti-aliasing filters in Digital Relays by Oversampling," Inventors: P. L. De Leon S. Brahma and R. Kavasseri, 2011.

United States utility patent application, “Low Bit Rate, Mel-Frequency Based Speech Codec,” Inventors: L. E. Boucheron, P. L. De Leon, and S. Sandoval, filed Dec. 2010.

United States Patent #7720012, “Speaker Identification in the Presence of Packet Losses,” Inventors: D. Borah and P. De Leon, 2010.

European Patent #95307423.4-2215, “Adaptive Finite Impulse Response Filtering Method and Apparatus,” Inventors: P. L. De Leon and D. R. Morgan, Lucent Technologies Bell Laboratories, 1995.

United States Patent #5553014, “Adaptive Finite Impulse Response Filtering Method and Apparatus,” Inventors: P. L. De Leon and D. R. Morgan, Lucent Technologies Bell Laboratories, 1996.

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

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90. S. Faziludeen, A. Sankar, P. L. De Leon, and U. Roedig, “LINGUARD: Authenticating Speech Recordings using Speech Recognition and Watermark,” Proc. IEEE Int. Conf. Acoustics, Speech & Signal Proc. (ICASSP), 2026. DOI: 10.1109/ICASSP55912.2026.11462384
[ Paper | IEEE Xplore ]

89. S. Faziludeen, A. Sankar, P. L. De Leon, and U. Roedig , “Limitations of Watermarking AI-Generated Speech using AudioSeal,” Proc. IEEE Int. Conf. Trust, Privacy, and Security in Intell. Syst., and Applications (TPS-ISA), 2025. DOI: 10.1109/TPS-ISA67132.2025.00029
[ Paper | IEEE Xplore ]

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,” Proc. IEEE Int. Midwest Symposium on Circuits and Systems (MWSCAS), 2023. DOI: 10.1109/MWSCAS57524.2023.10406098
[ Paper | IEEE Xplore ]

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 ] [A typo on p. 5 has been corrected]

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
[ Paper | 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
[ Paper | 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: 10.5281/zenodo.40783
[ 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 ]