@InProceedings{Gottschalk2020_459,
author = {Martin Gottschalk and Juliane Höbel-Müller and Ingo Siegert and Jesko L. Verhey and Andreas Wendemuth},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020},
title = {Filtering-Based Analysis of Spectral and Temporal Effects of Room Modes on Low-Level Descriptors of Emotionally Coloured Speech},
year = {2020},
editor = {Andreas Wendemuth and Ronald Böck and Ingo Siegert},
month = mar,
pages = {219--226},
publisher = {TUDpress, Dresden},
abstract = {Emotion recognition in far-field speech is challenging due to various
acoustic factors. The present contribution especially considers dominant lowfrequency
room modes which are often found in small rooms and cause variations
in the low-frequency acoustical response at various listening locations.
The impact of this spatial variation on low-level descriptors, used for feature sets
in speech emotion recognition, has not been analysed in detail so far.
This shortfall will be addressed in this paper, by utilising the well-known benchmark
dataset EMO-DB providing emotionally coloured speech of high quality. The
measured room response of a speaker cabin is compared with artificial approximations
of its frequency response in the low frequency range. Two techniques were
applied to obtain the approximations: The first technique uses multiple resonant
filters in the low frequency region, whose parameters are determined by a leastsquares
fit. The second technique used a modified version of the cabin’s amplitude
spectrum, that was set to unity for higher frequencies and transformed to minimum
phase and to time domain.
To be able to identify the impact of room modes on the low-level descriptors, correlation
coefficients between the “clean” and modified EMO-DB utterances are
calculated and compared to each other. Furthermore, a speech emotion recognition
system is used to identify the impact on the recognition performance.},
isbn = {978-3-959081-93-1},
issn = {0940-6832},
keywords = {Poster},
url = {https://www.essv.de/pdf/pdf/2020_219_226.pdf},
}