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2021 ◽  
pp. 171-183
Author(s):  
Guru Sree Ram Tholeti ◽  
Deepika Ghanta ◽  
N. V. S. Guru Sai Sarma Chilukuri ◽  
Shahana Bano

2018 ◽  
Vol 143 (3) ◽  
pp. 1923-1923 ◽  
Author(s):  
Kristina Furbeck ◽  
Emily J. Thurston ◽  
Jessica Tin ◽  
Tyler K. Perrachione

Author(s):  
Gregory Ciccarelli ◽  
Thomas F. Quatieri ◽  
Satrajit S. Ghosh
Keyword(s):  

2014 ◽  
Vol 57 (5) ◽  
pp. 1651-1665 ◽  
Author(s):  
Tyler K. Perrachione ◽  
Cara E. Stepp ◽  
Robert E. Hillman ◽  
Patrick C. M. Wong

Purpose The purpose of this study was to determine listeners' ability to learn talker identity from speech produced with an electrolarynx, explore source and filter differentiation in talker identification, and describe acoustic-phonetic changes associated with electrolarynx use. Method Healthy adult control listeners learned to identify talkers from speech recordings produced using talkers' normal laryngeal vocal source or an electrolarynx. Listeners' abilities to identify talkers from the trained vocal source (Experiment 1) and generalize this knowledge to the untrained source (Experiment 2) were assessed. Acoustic-phonetic measurements of spectral differences between source mechanisms were performed. Additional listeners attempted to match recordings from different source mechanisms to a single talker (Experiment 3). Results Listeners successfully learned talker identity from electrolarynx speech but less accurately than from laryngeal speech. Listeners were unable to generalize talker identity to the untrained source mechanism. Electrolarynx use resulted in vowels with higher F1 frequencies compared with laryngeal speech. Listeners matched recordings from different sources to a single talker better than chance. Conclusions Electrolarynx speech, although lacking individual differences in voice quality, nevertheless conveys sufficient indexical information related to the vocal filter and articulation for listeners to identify individual talkers. Psychologically, perception of talker identity arises from a “gestalt” of the vocal source and filter.


2014 ◽  
Author(s):  
Raul Fernandez ◽  
Jia Cui ◽  
Andrew Rosenberg ◽  
Bhuvana Ramabhadran ◽  
Xiaodong Cui
Keyword(s):  

2014 ◽  
Vol 24 (1) ◽  
pp. 156-173 ◽  
Author(s):  
V. N. Sorokin ◽  
A. A. Tananykin ◽  
V. G. Trunov

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