2E Zwicker, H Fast1. Psychoacoustics: facts and models [M]. Berlin, Germany: Springer Verlag, 1999.
3G L Collier. A comparison of novices and experts in the identification of sonar signals [J]. Speech Communication (S0167-6393), 2004, 43(4): 297-310.
4Tae Hong Park. Towards Automatic Musical Instrument Timbre Recognition [D]. USA: Princeton University, 2004.
5McAdams S, Beauehamp J W, Meneguzzi S. Discrimination of Musical Instruments Sounds Resynthesized with Simplified Spectrotemporal Parameters [J]. JASA (S0001-4966), 1999, 105(2): 882-897.
6Eronen A, Klapuri A. Musical Instrument Recognition Using Cepstral Coefficients and Temporal Features [C]// Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2000. USA: IEEE, 2000: 753-756.
7Brown J C, Houix O, McAdams S. Feature Dependence in the Automatic Identification of Musical Woodwind Instruments [J]. JASA (S0001-4966), 2001, 109(3): 1064-1072.
8Giulio Agostini, Maurizio Longari, Emanuele Pollastri. Musical Instrument Timbres Classification with Spectral Features [J]. EURASIP Journal on Applied Signal Processing (S1110-8657), 2003 2003(1): 5-14.
9Victor W Yong, Paul C Hines. Perception-based Automatic Classification of Impulsive- Source Active Sonar Echoes [J]. JASA: (S0001-4966), 2007, 122(3): 1502-1517.