Luis Valero M, Mabande E, Habets E (2015)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2015
Publisher: IEEE
City/Town: Queensland, Australia
Pages Range: 599-603
Article Number: 7178039
Conference Proceedings Title: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
ISBN: 9781467369978
DOI: 10.1109/ICASSP.2015.7178039
A partitioned-block-based architecture for a model-based acoustic echo canceller in the frequency domain was recently presented. Partitioned-block-based frequency domain adaptive filters provide a lower algorithmic delay compared to the non-partitioned formulations, which is achieved by partitioning the acoustic echo path and hence shortening the time-frequency transforms. Under these circumstances, avoiding the linearisation of the involved circular convolutions can significantly impair the performance. This paper extends the already proposed diagonalization of the Kalman gain matrix by taking into account the neglected inter-band correlations to improve the performance of the acoustic echo canceller. This comes at the cost of a moderate increase in the algorithmic complexity.
APA:
Luis Valero, M., Mabande, E., & Habets, E. (2015). A state-space partitioned-block adaptive filter for echo cancellation using inter-band correlations in the Kalman gain computation. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP) (pp. 599-603). Brisbane, AU: Queensland, Australia: IEEE.
MLA:
Luis Valero, Maria, Edwin Mabande, and Emanuël Habets. "A state-space partitioned-block adaptive filter for echo cancellation using inter-band correlations in the Kalman gain computation." Proceedings of the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, Brisbane Queensland, Australia: IEEE, 2015. 599-603.
BibTeX: Download