Dynamic temporal segmentation in parametric non-stationary modeling for percussive musical signals
Proceedings. IEEE International Conference on Multimedia and Expo - Tập 1 - Trang 349-352 vol.1
Tóm tắt
An audio signal parametric modeling scheme is proposed that permits higher performance for representing strong sound transients. The exponentially damped sinusoids (EDS) model is considered in association with a high resolution parameter estimation approach. Such a technique is well adapted to almost every audio signal but is unfortunately not efficient when dealing with signals presenting strong temporal variations, such as percussive music signals, and causes pre-echo artifacts and weak onset dynamic reproduction which are prejudicial to listening. A system, based on the EDS model, has been developed with a transient detector and dynamic time segmentation and modeling that allows to overcome such artifacts.
Từ khóa
#Signal processing #Speech #Power system modeling #Parametric statistics #Signal resolution #Multiple signal classification #Detectors #Context modeling #Frequency #Image segmentationTài liệu tham khảo
boyer, 2002, Fast Algorithm and Non-stationary Model for High-resolution Audio Signal Modeling
moore, 1997, A model for the prediction of thresholds, loudness and partial loudness, J Audio Eng Soc, 45, 224
10.2307/3680788
goodwin, 1997, Adaptive Signal Models Theory Algorithms and Audio Applications
banderburg, 1994, ISO-mpeg-1 audio: A generic standard for coding of high-quality digital audio, JASA, 42
iso-mpeg, 2001, Call for Proposals for New Tools for Audio Coding
klapuri, 1999, Sound onset detection by applying psychoa-coustic knowledge, Proc of IEEE Int Conf on Acoustic Speech and Signal Processing
10.1109/ICASSP.1999.758165
10.1109/ICASSP.1998.679650
10.1109/29.56027
10.1109/ICASSP.2002.1006096
10.1016/0165-1684(93)90130-3
boyer, 2002, Non-stationary signal parametric modeling techniques with an application to low bitrate audio coding, Proc of IEEE Int Conf Signal Processing, 10.1109/ICOSP.2002.1181082