A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems
A noise-robust pitch synchronous feature extraction algorithm for speaker recognition systems is proposed in this paper. Since the pitch synchronous algorithms utilize pitch information, which is meaningful only for periodic segments, we propose a new scheme to deal with non-periodic ones such as unvoiced and noise-corrupted. The experimental results show that the proposed algorithm outperforms the conventional algorithm using fixed length of analysis window in actual identification tasks even in low SNR noisy environments.
|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|