M. Yoshida, H. Hokari, and S. Shimada, “Implementation of DSP-Based Adaptive Inverse Filtering System for ECTF Equalization,” in Proc. AES Convention 126, May 2009, Paper 7690. [Online]. Available: https://aes.org/publications/elibrary-page/?id=14886
Yoshida M, Hokari H, Shimada S. Implementation of DSP-Based Adaptive Inverse Filtering System for ECTF Equalization. In: AES Convention 126. Audio Engineering Society; 2009. Paper 7690. Available from: https://aes.org/publications/elibrary-page/?id=14886
@inproceedings{Yoshida2009_14886,
author = {Yoshida, Masataka and Hokari, Haruhide and Shimada, Shoji},
title = {{Implementation of DSP-Based Adaptive Inverse Filtering System for ECTF Equalization}},
booktitle = {AES Convention 126},
note = {Paper 7690},
year = {2009},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=14886}
}
TY - CPAPER
TI - Implementation of DSP-Based Adaptive Inverse Filtering System for ECTF Equalization
AU - Yoshida, Masataka
AU - Hokari, Haruhide
AU - Shimada, Shoji
T2 - AES Convention 126
M1 - Paper 7690
PY - 2009
DA - 2009/05/06
UR - https://aes.org/publications/elibrary-page/?id=14886
PB - Audio Engineering Society
LA - en
AB - The Head Related Transfer Function (HRTF) and the inverse Ear Canal Transfer Function (ECTF) must be accurately determined if stereo earphones are realize out-of-head sound localization (OHL) with high presence. However, the characteristics of ECTF depend on the type of earphone used and the number of earphone mounting and demounting operations. Therefore, we present a DSP-based adaptive inverse filtering system for ECTF equalization in this paper. The buffer composition and size of DSP were studied so as to implement operation processing. As a result, we succeeded in constructing a system that was able to work in the audio-band of 15kHz with the sampling frequency of 44.1kHz. Listening tests clarified that the effective estimation error of the adaptive inverse-ECTF for OHL was less than -11dB with convergence time of about 0.3 seconds.
ER -