TAILIEUCHUNG - Báo cáo hóa học: " Research Article Perceptual Coding of Audio Signals Using Adaptive Time-Frequency Transform"

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 Perceptual Coding of Audio Signals Using Adaptive Time-Frequency Transform | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2007 Article ID 51563 14 pages doi 2007 51563 Research Article Perceptual Coding of Audio Signals Using Adaptive Time-Frequency Transform Karthikeyan Umapathy and Sridhar Krishnan Department of Electrical and Computer Engineering Ryerson University 350 Victoria Street Toronto ON Canada M5B 2K3 Received 22 January 2006 Revised 10 November 2006 Accepted 5 July 2007 Recommended by Douglas S. Brungart Wide band digital audio signals have a very high data-rate associated with them due to their complex nature and demand for high-quality reproduction. Although recent technological advancements have significantly reduced the cost of bandwidth and miniaturized storage facilities the rapid increase in the volume of digital audio content constantly compels the need for better compression algorithms. Over the years various perceptually lossless compression techniques have been introduced and transform-based compression techniques have made a significant impact in recent years. In this paper we propose one such transform-based compression technique where the joint time-frequency TF properties ofthe nonstationary nature ofthe audio signals were exploited in creating a compact energy representation of the signal in fewer coefficients. The decomposition coefficients were processed and perceptually filtered to retain only the relevant coefficients. Perceptual filtering psychoacoustics was applied in a novel way by analyzing and performing TF specific psychoacoustics experiments. An added advantage of the proposed technique is that due to its signal adaptive nature it does not need predetermined segmentation of audio signals for processing. Eight stereo audio signal samples of different varieties were used in the study. Subjective mean opinion score MOS listening tests were performed and the subjective difference grades SDG were used to compare the performance of the proposed coder .

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