Projects per year
Abstract
In this paper, we consider methods for improving far-field speech
recognition using dereverberation based on sparse multi-channel linear
prediction. In particular, we extend successful methods based on nonconvex iteratively reweighted least squares, that look for a sparse
desired speech signal in the short-term Fourier transform domain, by proposing sparsity promoting convex functions. Furthermore, we show how to improve performance by applying regularization into both the reweighted least squares and convex methods. We evaluate
the methods using large scale simulations by mimicking the application scenarios of interest. The experiments show that the proposed
convex formulations and regularization offer improvements over existing methods with added robustness and flexibility in fairly different
acoustic scenarios.
recognition using dereverberation based on sparse multi-channel linear
prediction. In particular, we extend successful methods based on nonconvex iteratively reweighted least squares, that look for a sparse
desired speech signal in the short-term Fourier transform domain, by proposing sparsity promoting convex functions. Furthermore, we show how to improve performance by applying regularization into both the reweighted least squares and convex methods. We evaluate
the methods using large scale simulations by mimicking the application scenarios of interest. The experiments show that the proposed
convex formulations and regularization offer improvements over existing methods with added robustness and flexibility in fairly different
acoustic scenarios.
Original language | English |
---|---|
Title of host publication | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 |
Number of pages | 5 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Publication date | 2018 |
Pages | 446-450 |
Article number | 8462560 |
ISBN (Print) | 978-1-5386-4659-5 |
ISBN (Electronic) | 978-1-5386-4658-8 |
DOIs | |
Publication status | Published - 2018 |
Event | 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Calgary, Canada Duration: 15 Apr 2018 → 20 Apr 2018 https://2018.ieeeicassp.org/ |
Conference
Conference | 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
---|---|
Country/Territory | Canada |
City | Calgary |
Period | 15/04/2018 → 20/04/2018 |
Internet address |
Series | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
---|---|
ISSN | 1520-6149 |
Projects
- 1 Finished
-
RTC: Computational Oriented Real-time Convex Optimization in Signal Processing
Jensen, T. (Project Participant), Jensen, S. H. (Project Participant), Larsen, T. (Project Participant), Giacobello, D. (Contact), Dahl, J. (Contact) & Diehl, M. (Contact)
The Danish Council for Independent Research| Technology and Production Sciences, Independent Research Fund Denmark | Sapere Aude
01/06/2014 → 30/06/2017
Project: Research