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  • The optimal filter length of linear prediction (LP) model of musical signals are compared with speech signals in the paper. These musical signals are single musical instruments and vocal. Firstly, the global and segmental optimal orders of LP model are defined then the global optimal orders of LP model are measured for appropriately chosen musical and speech signals and finally statistical tests are performed. These tests determine if the differences between measured optimal orders are statistically significant or not.
  • The optimal filter length of linear prediction (LP) model of musical signals are compared with speech signals in the paper. These musical signals are single musical instruments and vocal. Firstly, the global and segmental optimal orders of LP model are defined then the global optimal orders of LP model are measured for appropriately chosen musical and speech signals and finally statistical tests are performed. These tests determine if the differences between measured optimal orders are statistically significant or not. (en)
Title
  • Comparison of Optimum Filter Length in Linear Prediction between Speech and Musical Signals
  • Comparison of Optimum Filter Length in Linear Prediction between Speech and Musical Signals (en)
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  • Comparison of Optimum Filter Length in Linear Prediction between Speech and Musical Signals
  • Comparison of Optimum Filter Length in Linear Prediction between Speech and Musical Signals (en)
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  • RIV/00216305:26220/11:PU95198!RIV12-MSM-26220___
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  • S, Z(MSM0021630513)
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  • 191200
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  • RIV/00216305:26220/11:PU95198
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  • Analysis of Variance, Audio Signals, Digital Signal Processing, Digital Filters, Linear Prediction Model. (en)
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  • [2483C28972A2]
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  • Budapest
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  • Neuveden
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  • 34th International Conference on Telecommunications and Signal Processing
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  • Balík, Miroslav
  • Rášo, Ondřej
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  • Neuveden
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  • 978-1-4577-1409-2
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  • 26220
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