Analysis and Design Algorithm of Time Varying Reverberator for Low Memory Applications
Development of an artificial reverberation algorithm with low memory requirements has been an issue of importance in applications such as mobile multimedia devices. One possible solution to this problem is to embed a time-varying all-pass filter to the feedback loop of the comb filter. In this paper, theoretical and perceptual analyses of reverberators embedding time-varying all-pass filters in their feedback loops are presented. The analyses are to find a perceptually acceptable degree of phase variation by the all-pass filter. Based on the analyses, we propose a new methodology of designing reverberators embedding time-varying all-pass filters. Through the subjective tests, we showed that, even with smaller memory, the proposed method is capable of providing perceptually superior sound to the previous methods involving time-invariant parameters.
|5||International Conference||Tacksung Choi, Junho Lee, Young-cheol Park, Daehee Youn "Analysis and Design Algorithm of Time Varying Reverberator for Low Memory Applications" in 119th Convention of Audio Engineering Society, pp.6561, 2005|
|4||International Conference||Samuel Kim, Sungwan Yoon, Thomas Eriksson, Hong-Goo Kang, Dae Hee Youn "A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems" in INTERSPEECH, 2005|
|3||International Conference||Jae-woong Jeong, Junho Lee, Young-Cheol Park, Jeong-Tae Kim, Dae Hee Youn "Design and Implementation of IIR Crosstalk Cancellation Filters Approximating Frequency Warping" in 118th Convention of Audio Engineering Society, pp.6490, 2005|
|2||International Conference||Kyoung Ho Bang, Keun-Sup Lee, Young-Cheol Park, Dae Hee Youn "Fast Bit Allocation Method for MP3/AAC Encoders" in 118th Convention of Audio Engineering Society, 2005|
|1||International Conference||Min-seok Choi, Hong-goo Kang "An improved estimation of a priori speech absence probability for speech enhancement: in perspective of speech perception" in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005|