I have moved to a new position at the Ohio State University. If you need to reach me, please contact me at the following email address: williamson.413@osu.edu


Journal and Conference Papers


2019

  1. Z. Zhang, D. Williamson, and Y. Shen, "Impact of Amplification on Speech Enhancement Algorithms using an Objective Evaluation Metric," in Proc. International Congress on Acoustics (ICA) , (to appear), 2019. [PDF]

  2. Z. Zhang, Y. Shen, and D. Williamson, "Objective Comparison of Speech Enhancement Algorithms with Hearing Loss Simulation," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , (to appear), 2019. [PDF]

  3. K. Berkson et. al, "Building a Common Voice Corpus for Laiholh (Hakha Chin)," in Proc. Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL), pp. 5-10, 2019. [PDF]

2018

  1. D. Williamson, "Monaural Speech Separation Using A Phase-Aware Deep Denoising Auto Encoder," in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP) , 2018. [PDF]

  2. X. Dong and D. Williamson, "Long-term SNR estimation using noise residuals and a two-stage deep-learning framework," in Proc. International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), pp. 351-360, 2018. [PDF]

2017

  1. F. Mayer, D. Williamson, P. Mowlaee, and D. L. Wang, "Impact of Phase Estimation on Single-Channel Speech Separation Based on Time-Frequency Masking," Journal of the Acoustical Society of America (JASA) , vol. 141, pp. 4668-4679, 2017. [PDF]

  2. D. Williamson and D. L. Wang, "Time-frequency masking in the complex domain for speech dereverberation and denoising," IEEE/ACM Trans. on Audio, Speech, and Lang. Process. (IEEE TASLP) , vol. 25, pp 1492-1501, 2017. [PDF]

  3. D. Williamson and D. L. Wang, "Speech Dereverberation and Denoising using Complex Ratio Masks," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , pp. 5590-5594, 2017. [PDF]

2016

  1. D. Williamson, Y. Wang, and D. L. Wang, "Complex ratio masking for monaural speech separation," IEEE/ACM Trans. on Audio, Speech, and Lang. Process. (IEEE TASLP), vol. 24, pp. 483-492, 2016. [PDF]

  2. D. Williamson, Y. Wang, and D. L. Wang, "Complex ratio masking for joint enhancement of magnitude and phase," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5220-5224, 2016. [PDF]

2015

  1. D. Williamson, Y. Wang, and D.L. Wang, "Estimating nonnegative matrix model activations with deep neural networks to increase perceptual speech quality," Journal of the Acoustical Society of America (JASA), vol. 138, pp. 1399-1407, 2015. [PDF]

  2. D. Williamson, Y. Wang, and D.L. Wang, "Deep neural networks for estimating speech model activations," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5113-5117, 2015. [PDF]

2014

  1. D. Williamson, Y. Wang, and D.L. Wang, "Reconstruction techniques for improving the perceptual quality of binary masked speech.," Journal of the Acoustical Society of America (JASA), vol. 136, pp. 892-902, 2014. [PDF]

  2. D. Williamson, Y. Wang, and D.L. Wang, "A two-stage approach for improving the perceptual quality of separated speech," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 7084-7088, 2014. [PDF]

2013

  1. D. Williamson, Y. Wang, and D.L. Wang, "A Sparse Representation Approach for Perceptual Quality Improvement of Separated Speech," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 7015-7019, 2013. [PDF]

2006

  1. Y. E. Kim, D. Williamson, and S. Pilli, "Towards quantifying the album effect in artist identification," in Proc. International Symposium on Music Information Retrieval (ISMIR), 2006 (online abstract and poster presentation). [PDF]


Thesis


  1. D. Williamson, Deep Learning Methods for Improving the Perceptual Quality of Noisy and Reverberant Speech, Ph.D. Dissertation, Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, 2016.

  2. D. Williamson, Automatic Music Similarity Assessment and Recommendation, M.S. Thesis, Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, 2007.