TAILIEUCHUNG - Báo cáo hóa học: " Research Article Harmonic Enhancement in Low Bitrate Audio Coding Using an Efficient Long-Term Predictor"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Harmonic Enhancement in Low Bitrate Audio Coding Using an Efficient Long-Term Predictor | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 939542 9 pages doi 2010 939542 Research Article Harmonic Enhancement in Low Bitrate Audio Coding Using an Efficient Long-Term Predictor Jeongook Song Chang-Heon Lee Hyen-O Oh and Hong-Goo Kang Department of Electrical and Electronic Engineering Yonsei University 134 Sinchon-dong Seodaemun-gu Seoul 120-749 Republic of Korea Correspondence should be addressed to Jeongook Song jeongook@ Received 8 February 2010 Revised 11 May 2010 Accepted 29 July 2010 Academic Editor Tan Lee Copyright 2010 Jeongook Song et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. This paper proposes audio coding using an efficient long-term prediction method to enhance the perceptual quality of audio codecs to speech input signals at low bit-rates. The MPEG-4 AAC-LTP exploited a similar concept but its improvement was not significant because of small prediction gain due to long prediction lags and aliased components caused by the transformation with a time-domain aliasing cancelation TDAC technique. The proposed algorithm increases the prediction gain by employing a deharmonizing predictor and a long-term compensation filter. The look-back memory elements are first constructed by applying the de-harmonizing predictor to the input signal then the prediction residual is encoded and decoded by transform audio coding. Finally the long-term compensation filter is applied to the updated look-back memory of the decoded prediction residual to obtain synthesized signals. Experimental results show that the proposed algorithm has much lower spectral distortion and higher perceptual quality than conventional approaches especially for harmonic signals such as voiced speech. 1. Introduction The main objective of speech

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