tailieunhanh - Báo cáo hóa học: "Vesa Valimaki Laboratory of Acoustics and Audio Signal Processing,"

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: Vesa Valimaki Laboratory of Acoustics and Audio Signal Processing, | EURASIP Journal on Applied Signal Processing 2004 7 923-925 2004 Hindawi Publishing Corporation Editorial Vesa Valimaki Laboratory of Acoustics and Audio Signal Processing Helsinki University of Technology . Box 3000 02015 Espoo Finland Email Augusto Sarti Dipartimento di Elettronica e Informazione Politecnico di Milano piazza Leonardo da Vinci 32 20133 Milan Italy Email Matti Karjalainen Laboratory of Acoustics and Audio Signal Processing Helsinki University of Technology . Box 3000 02015 Espoo Finland Email Rudolf Rabenstein Multimedia Communications and Signal Processing University Erlangen-Nuremberg 91058 Erlangen Germany Email rabe@ Lauri Savioja Laboratory of Telecommunications Software and Multimedia Helsinki University of Technology . Box 5400 02015 Espoo Finland Email Model-based sound synthesis has become one of the most active research topics in musical signal processing and in musical acoustics. The earliest attempts in generating musical sound with a physical model were made over three decades ago. The first commercial products were seen only some twenty years later. Recently many refinements to previous signal processing algorithms and several new ones have been introduced. We have learned that new signal processing methods can still be devised or old ones modified to advance the field. Today there exist efficient model-based synthesis algorithms for many sound sources while there are still some for which we do not have a good model. Certain issues such as parameter estimation and real-time control require further work for many model-based approaches. Finally the capabilities of human listeners to perceive details in synthetic sound should be accounted for in a way similar as in perceptual audio coding in order to optimize the algorithms. The success and future of the model-based approach depends on researchers and the results of their work. The .