Genetically related singers—acoustic feature analysis and impact on singer identification

Author(s):  
Deepali Y. Loni ◽  
Shaila Subbaraman
Author(s):  
Genaro Daza ◽  
Luis Gonzalo Sánchez ◽  
Franklin A. Sepúlveda ◽  
Castellanos D. Germán

The present work analyzes the statistical effectiveness of different acoustic features in the automatic identification of hypernasality. Acoustic features reflect part of information contained in perceptual analysis; in part, due to their estimation is derived directly or indirectly from the vocal cords behavior. Consequently, it is convenient to apply multivariate analysis techniques in determining the effectiveness of voice features. The effectiveness is studied by using multivariate analysis techniques that are meant for feature extraction and feature selection, as well (latent variable models, heuristic search algorithms).


2016 ◽  
Vol 15 (7) ◽  
pp. 721-729 ◽  
Author(s):  
Fumiya YOKOMORI ◽  
Yamato NINOMIYA ◽  
Masanori MORISE ◽  
Akihiro TANAKA ◽  
Kenji OZAWA

2010 ◽  
Author(s):  
Dongrui Wu ◽  
Thomas D. Parsons ◽  
Shrikanth S. Narayanan

1969 ◽  
Vol 46 (1A) ◽  
pp. 110-110
Author(s):  
Dennis H. Klatt ◽  
Kenneth N. Stevens

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