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T1  - Prosodic Representations of Prominence Classification Neural Networks and Autoencoders Using Bottleneck Features 
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UR  - http://hdl.handle.net/10138/312019 
T3  - Interspeech 
A1  - Kakouros, Sofoklis; Suni, Antti; Šimko, Juraj; Vainio, Martti 
A2  -  
PB  - ISCA 
Y1  - 2019 
LA  - eng 
AB  - Prominence perception has been known to correlate with a complex interplay of the acoustic features of energy, fundamental frequency, spectral tilt, and duration. The contribution and importance of each of these features in distinguishing between prominent and non-prominent units in speech is not always easy to determine, and more so, the prosodic representations that humans and automatic classifiers learn have been difficult to interpret. This work focuses on examining the acoustic prosodic rep... 
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