Overview

We are active in a variety of speech and audio signal processing domains, including audio forensics, restoration, and robust speech processing.

Sponsorship

Work sponsored by the Defense Advanced Research Projects Agency (DARPA), the Department of Defense (DOD), and the National Science Foundation (NSF).

Team

PI: Patrick J. Wolfe

Postdoctoral Fellows: Prabahan Basu, Christopher White

Graduate Students: Betul Arda, Jung Ook Hong, Daniel Rudoy, Frank Tompkins

Publications

C. M. White, S. P. Khudanpur, and P. J. Wolfe, "Likelihood-based semi-supervised model selection with applications to speech processing " Submitted for publication, 2009.

D. Rudoy, T. F. Quatieri, and P. J. Wolfe, "Time-Varying Autoregressions in Speech: Detection and Application" Submitted for publication, 2009.

M. A. Berezina, D. Rudoy and P. J. Wolfe, "Autoregressive Modeling of Voiced Speech " Submitted to 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2010.

D. Rudoy, P. Basu, and P. J. Wolfe. "Superposition frames for adaptive time-frequency analysis and fast reconstruction." Submitted for publication, 2009.

D. Rudoy, T. F. Quatieri, and P. J. Wolfe, "Time-varying autoregressive tests for multiscale speech analysis." INTERSPEECH 2009, to appear.

J.-O. Hong and P. J. Wolfe, "Model-based estimation of instantaneous pitch in noisy speech." INTERSPEECH 2009, to appear.

F. Tompkins and P. J. Wolfe, "Approximate intrinsic Fourier analysis of speech." INTERSPEECH 2009, to appear.

P. Basu, D. Rudoy, and P. J. Wolfe, “A nonparametric test for stationarity based on local Fourier analysis,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2009.

C. M. White, A. Sethy, B. Ramabhandran, P. J. Wolfe, E. Cooper, M. Saraclar and J. K. Baker, "Unsupervised pronounciation validation," in Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2009.

J. G. A. Barbedo, A. Lopes, and P. J. Wolfe, “Empirical methods to determine the number of sources in single-channel musical signals,” IEEE Transactions on Audio, Speech, and Language Processing, to appear, 2009.

D. Rudoy, P. Basu, T. Quatieri, R. B. Dunn, and P. J. Wolfe, “Adaptive short-time analysis-synthesis for speech enhancement,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008, pp. 4905–4908.

J. G. A. Barbedo, A. Lopes, and P. J. Wolfe, “High time-resolution estimation of multiple fundamental frequencies,” in Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR), S. Dixon, D. Bainbridge, and R. Typke, Eds., pp. 399–402. Austrian Computer Society (OCG) Press, Vienna, 2007.

S. J. Godsill, A. T. Cemgil, C. Fevotte, and P. J. Wolfe, “Bayesian computational methods for sparse audio and music processing,” in Proceedings of the European Signal Processing Conference (EUSIPCO), 2007, pp. 345–349. Special Session on Sparse Modeling Approaches to Audio and Music Processing.

D. Rudoy, D. N. Spendley, and P. J. Wolfe, “Conditionally linear Gaussian models for estimating vocal tract resonances,” in Proceedings of INTERSPEECH, 2007, pp. 526–529.

P. J. Wolfe, “Sparse time-frequency representations in audio processing, as studied through a symmetrized lognormal model,” in Proceedings of the European Signal Processing Conference (EUSIPCO), 2007, pp. 355–359. Special Session on Sparse Modeling Approaches to Audio and Music Processing.

P. J. Wolfe, S. J. Godsill, and W.-J. Ng, “Bayesian variable selection and regularisation for time-frequency surface estimation,” Journal of the Royal Statistical Society, Series B, vol. 66, no. 3, pp. 575–589, 2004. Selected for reading at the Society's Meeting on Inverse Problems.

P. J. Wolfe and S. J. Godsill, “Efficient alternatives to the Ephraim and Malah suppression rule for audio signal enhancement,” EURASIP Journal on Applied Signal Processing, vol. 2003, no. 10, pp. 1043–1051, 2003. Special Issue: Audio for Multimedia Communications.

S. J. Godsill, P. J. Wolfe, and W. N. W. Fong, “Statistical model-based approaches to audio restoration and analysis,” Journal of New Music Research, vol. 30, no. 4, pp. 323–338, 2001. Special Issue: Preserving Electroacoustic Music.

P. J. Wolfe and S. J. Godsill, “Perceptually motivated approaches to music restoration,” Journal of New Music Research, vol. 30, no. 1, pp. 83–92, 2001. Special Issue: Music and Mathematics.