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Investigating Time-Frequency Representations for Audio Feature Extraction in Singing Technique Classification.

, , , и . APSIPA ASC, стр. 890-896. IEEE, (2021)

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Hiroko Inoue

Hiroko Yamamura

Hiroko Nojiri

Hiroko Nojiri

Hiroko Miyajima

 

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Real-time smile sonification using surface emg signal and the evaluation of its usability., , , , и . ICAD, стр. 152-156. Institute of Electronic Music and Acoustics (IEM), University of Music and Performing Arts Graz (KUG), Austria, (2015)PrimaDNN': A Characteristics-Aware DNN Customization for Singing Technique Detection., , и . EUSIPCO, стр. 406-410. IEEE, (2023)Investigating Time-Frequency Representations for Audio Feature Extraction in Singing Technique Classification., , , и . APSIPA ASC, стр. 890-896. IEEE, (2021)Creating a Place as a Medium for Musical Communication Using Multiple Electroencephalography., , , , , , и . ICMC, Michigan Publishing, (2014)Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification., , и . INTERSPEECH, стр. 2778-2782. ISCA, (2022)A statistical model of timbre perception., , и . SAPA@INTERSPEECH, стр. 18-23. ISCA, (2006)The effect of musical experience on rhythm perception for hearing-impaired undergraduates., , и . SMC, стр. 1666-1669. IEEE, (2014)Using a perceptually Based Timbre Metric for parameter control estimation in Physical Modeling synthesis., , и . ICMC, Michigan Publishing, (2005)Sonification of muscular activity in human movements using the temporal patterns in EMG., , , , и . APSIPA, стр. 1-5. IEEE, (2012)Music Perception of hearing-Impaired Persons with Focus on One Test Subject., , , , , и . SMC, стр. 2407-2412. IEEE, (2015)