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Gregory H. Wakefield
Person information
- affiliation: University of Michigan, Ann Arbor, USA
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2010 – 2019
- 2016
- [j16]David E. Kieras, Gregory H. Wakefield, Eric R. Thompson, Nandini Iyer, Brian D. Simpson:
Modeling Two-Channel Speech Processing With the EPIC Cognitive Architecture. Top. Cogn. Sci. 8(1): 291-304 (2016) - 2014
- [c32]Kyla A. McMullen, Gregory H. Wakefield:
3D sound memory in virtual environments. 3DUI 2014: 99-102 - 2013
- [c31]Kyla A. McMullen, Gregory H. Wakefield:
Effects of Plane Mapping on Sound Localization in a Virtual Auditory Environment. HCI (28) 2013: 357-361 - 2011
- [c30]Sean K. R. Lineaweaver, Gregory H. Wakefield:
Psychometric augmentation of an interactive genetic algorithm for optimizing cochlear implant programs. GECCO 2011: 1755-1762
2000 – 2009
- 2009
- [c29]Kyla A. McMullen, Gregory H. Wakefield:
Relationship Learning Software: Design and Assessment. HCI (3) 2009: 631-640 - 2008
- [j15]Norman H. Adams, Gregory H. Wakefield:
State-Space Synthesis of Virtual Auditory Space. IEEE Trans. Speech Audio Process. 16(5): 881-890 (2008) - 2007
- [c28]Norman H. Adams, Gregory H. Wakefield:
Efficient Binaural Display using MIMO State-Space Systems. ICASSP (1) 2007: 169-172 - 2006
- [j14]Norman H. Adams, Mark A. Bartsch, Gregory H. Wakefield:
Note segmentation and quantization for music information retrieval. IEEE Trans. Speech Audio Process. 14(1): 131-141 (2006) - 2005
- [j13]Mark A. Bartsch, Gregory H. Wakefield:
Audio thumbnailing of popular music using chroma-based representations. IEEE Trans. Multim. 7(1): 96-104 (2005) - [c27]Norman H. Adams, Daniela Marquez, Gregory H. Wakefield:
Iterative Deepening for Melody Alignment and Retrieval. ISMIR 2005: 199-206 - 2004
- [j12]Mark A. Bartsch, Gregory H. Wakefield:
Singing voice identification using spectral envelope estimation. IEEE Trans. Speech Audio Process. 12(2): 100-109 (2004) - [j11]Eric A. Durant, Gregory H. Wakefield, Dianne J. Van Tasell, Martin E. Rickert:
Efficient perceptual tuning of hearing aids with genetic algorithms. IEEE Trans. Speech Audio Process. 12(2): 144-155 (2004) - [c26]Norman H. Adams, Mark A. Bartsch, Jonah Shifrin, Gregory H. Wakefield:
Time Series Alignment for Music Information Retrieval. ISMIR 2004 - 2003
- [j10]Maureen Mellody, Mark A. Bartsch, Gregory H. Wakefield:
Analysis of Vowels in Sung Queries for a Music Information Retrieval System. J. Intell. Inf. Syst. 21(1): 35-52 (2003) - 2002
- [j9]Eric A. Durant, Gregory H. Wakefield:
Efficient model fitting using a genetic algorithm: pole-zero approximations of HRTFs. IEEE Trans. Speech Audio Process. 10(1): 18-27 (2002) - 2001
- [j8]Corey I. Cheng, Gregory H. Wakefield:
Moving Sound Source Synthesis for Binaural Electroacoustic Music Using Interpolated Head-Related Transfer Functions (HRTFs). Comput. Music. J. 25(4): 57-80 (2001) - 2000
- [c25]Maureen Mellody, Gregory H. Wakefield:
Signal Analysis of the Singing Voice: Low-Order Representations of Singer Identity. ICMC 2000 - [c24]Gregory H. Wakefield:
A Mathematical/Psychometric Framework for Comparing the Perceptual Response to Different Analysis-synthesis Techniques: Ground Rules For A Synthesis Bake-off. ICMC 2000 - [c23]Gregory H. Wakefield, Laurie M. Heller, Laurel H. Carney, Maureen Mellody:
On the Perception of Transients: Applying Psychophysical Constraints to Improve Audio Analysis and Synthesis. ICMC 2000
1990 – 1999
- 1999
- [c22]Corey I. Cheng, Gregory H. Wakefield:
Spatial frequency response surfaces: an alternative visualization tool for head-related transfer functions (HRTFs). ICASSP 1999: 961-964 - [c21]Mary Simoni, Benjamin Broening, Christopher Rozell, Colin Meek, Gregory H. Wakefield:
A Theoretical Framework for Electro-Acoustic Music. ICMC 1999 - [c20]Andrew Sterian, Mary Simoni, Gregory H. Wakefield:
Model-Based Musical Transcription. ICMC 1999 - [c19]Gregory H. Wakefield:
Chromagram visualization of the singing voice. MAVEBA 1999: 24-29 - [c18]Maureen Mellody, Gregory H. Wakefield:
A high-resolution time-frequency analysis of the singing voice. MAVEBA 1999: 30-35 - 1997
- [j7]Michael A. Blommer, Gregory H. Wakefield:
Pole-zero approximations for head-related transfer functions using a logarithmic error criterion. IEEE Trans. Speech Audio Process. 5(3): 278-287 (1997) - [c17]Maureen Mellody, Gregory H. Wakefield:
A Modal Distribution Study of Violin Vibrato. ICMC 1997 - [c16]Andrew Sterian, Gregory H. Wakefield:
A Frequency-Dependent Bilinear Time-Frequency Distribution for Improved Event Detection. ICMC 1997 - 1996
- [j6]William J. Pielemeier, Gregory H. Wakefield, Mary H. Simon:
Time-frequency analysis of musical signals. Proc. IEEE 84(9): 1216-1230 (1996) - [c15]Rowena Guevara, Gregory H. Wakefield:
A Modal Distribution Approach to Piano Analysis and Synthesis. ICMC 1996 - [c14]Eric M. Mrozek, Gregory H. Wakefield:
Perceptual Matching of Low Order Models to Room Transfer Functions. ICMC 1996 - [c13]Paul Runkle, Gregory H. Wakefield:
On the Perceptual Optimization of Synthetic Acoustical Systems. ICMC 1996 - [c12]Andrew Sterian, Gregory H. Wakefield:
Robust Automated Music Transcription Systems. ICMC 1996 - [c11]Gregory H. Wakefield:
The Mathematical Implications of a Pulse-Ribbon Perceptual Organization of Pitch. ICMC 1996 - [c10]Gregory H. Wakefield, Mary Simoni:
Exploring Instrument Constancy Through a New Method for the Design of Synthetic Instruments. ICMC 1996 - 1995
- [j5]Michael A. Blommer, Gregory H. Wakefield:
The side-information median filter for sequence reconstruction. IEEE Trans. Signal Process. 43(5): 1033-1044 (1995) - [c9]Andrew Sterian, Paul Runkle, Gregory H. Wakefield:
Active sensory tuning of windnoise using a genetic algorithm. ICASSP 1995: 2967-2970 - 1994
- [j4]Richard T. Austin, Anthony W. England, Gregory H. Wakefield:
Special problems in the estimation of power-law spectra as applied to topographical modeling. IEEE Trans. Geosci. Remote. Sens. 32(4): 928-939 (1994) - [j3]Michael A. Blommer, Gregory H. Wakefield:
On the design of pole-zero approximations using a logarithmic error measure. IEEE Trans. Signal Process. 42(11): 3245-3248 (1994) - 1993
- [c8]Gregory H. Wakefield, B. John Feng, K. R. Raghavan, Michael A. Blommer:
SP Education Laboratory. ICASSP (5) 1993: 626-629 - 1992
- [c7]Cynthia J. Finelli, Gregory H. Wakefield, Janice M. Jenkins, Lorenzo A. DiCarlo:
The time-sequenced adaptive filter for linear prediction of the intraventricular electrogram. ICASSP 1992: 577-580 - 1990
- [j2]Brian Zuerndorfer, Gregory H. Wakefield:
Extensions of Scale-Space Filtering to Machine-Sensing Systems. IEEE Trans. Pattern Anal. Mach. Intell. 12(9): 868-882 (1990) - [c6]Brian Zuerndorfer, Gregory H. Wakefield, Anthony W. England:
Recovery of fine resolution information in multispectral processing. ICASSP 1990: 2033-2036 - [c5]Huili Wang, Gregory H. Wakefield:
Non-asymptotic performance analysis of eigenstructure spectral methods. ICASSP 1990: 2591-2594 - [c4]K. R. Raghavan, Sathyanarayan S. Rao, Gregory H. Wakefield, Purusottam Mookerjee:
An eigenstructure based nonparametric algorithm to estimate the frequencies of two sinusoids in white noise. ICASSP 1990: 2679-2682
1980 – 1989
- 1988
- [c3]Sanjeev M. Naik, Gregory H. Wakefield:
On the application of autoregressive models to the representation of planar curves. ICASSP 1988: 968-971 - 1987
- [c2]Huili Wang, Gregory H. Wakefield:
Signal-subspace approximation for line spectrum estimation. ICASSP 1987: 2054-2057 - 1986
- [j1]Gregory H. Wakefield:
Optimum signal processing: An introduction. IEEE Trans. Acoust. Speech Signal Process. 34(4): 1018-1019 (1986) - 1985
- [c1]Gregory H. Wakefield, M. Kaveh:
Frequency-wavenumber spectral estimation of non-planar random fields. ICASSP 1985: 808-811
Coauthor Index
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