@InProceedings{Höbel-Müller2018_410,
author = {Juliane Höbel-Müller and Ronald Böck and Andreas Wendemuth},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2018},
title = {The Effect of Emotional Speech on Relative Speaker Discrimination},
year = {2018},
editor = {André Berton and Udo Haiber and Wolfgang Minker},
month = mar,
pages = {216--223},
publisher = {TUDpress, Dresden},
abstract = {Text-independent speaker discrimination (SD) involves checking
whether two arbitrary speech signals are uttered by the same speaker or two dif-
ferent speakers. It has various applications such as speaker verification or speech
turn segmentation. However, emotionally colored speech introduces variations in
the acoustic features impairing the performance of baseline speech technologies.
This study focuses on investigating the influence of emotions on SD, applying
an approach based on a relative characterization of the speaker, called Relative
Speaker Characteristic (RSC). The intrinsic variability is modeled by using emo-
tional utterances represented in the benchmark corpus Berlin Database of Emo-
tional Speech. Three feature subsets based on Mel Frequency Cepstral Coeffi-
cients (MFCCs) are used to calculate the RSC that represents the SD specific
information, namely F1 = {13 MFCCs}, F2 = {F1 ∪ delta coefficients} and
F3 = {F2 ∪ delta−delta coefficients}. Emotionally neutral utterances serve as
training data. SD models are developed using a Support Vector Machine with a
linear kernel. By using the RSC that is based on F1, the best SD performance
is achieved. Regarding F1, the SD performance for utterances in the state of
joy (EER= 6.6%), boredom (EER= 6.69%) and anger (EER= 7.61%) is similar
to the SD for emotionally neutral utterances (EER= 7.34%). However, for utter-
ances in the state of fear (EER = 10.91%), disgust (EER= 23.76%) and sadness
(EER= 25.76%), the SD performance is unreliable.},
isbn = {978-3-959081-28-3},
issn = {0940-6832},
keywords = {Affective Speech},
url = {https://www.essv.de/pdf/2018_216_223.pdf},
}