A survey of speech emotion recognition in natural environment

MS Fahad, A Ranjan, J Yadav, A Deepak - Digital signal processing, 2021 - Elsevier
While speech emotion recognition (SER) has been an active research field since the last
three decades, the techniques that deal with the natural environment have only emerged in …

Robustness to noise for speech emotion classification using CNNs and attention mechanisms

L Wijayasingha, JA Stankovic - Smart Health, 2021 - Elsevier
Abstract Speech Emotion Recognition (SER) is an important task since emotion is a primary
dimension in human communication and health. It has a wide variety of practical …

[PDF][PDF] Distant speech emotion recognition in an indoor human-robot interaction scenario

N Grágeda, C Busso, E Alvarado, R Mahu… - Proceedings of the …, 2023 - isca-archive.org
Social robotics and human-robot partnership are becoming very relevant topics defining
many challenges for state-of-the-art speech technology. This paper presents the first …

From the inside out: A literature review on possibilities of mobile emotion measurement and recognition

M Meyer, P Helmholz, M Rupprecht, J Seemann… - 2019 - aisel.aisnet.org
Abstract Information systems are becoming increasingly intelligent and emotion artificial
intelligence is an important component for the future. Therefore, the measurement and …

[HTML][HTML] Speech emotion recognition in real static and dynamic human-robot interaction scenarios

N Grágeda, C Busso, E Alvarado, R García… - Computer Speech & …, 2025 - Elsevier
The use of speech-based solutions is an appealing alternative to communicate in human-
robot interaction (HRI). An important challenge in this area is processing distant speech …

[PDF][PDF] Speech emotion recognition with deep learning beamforming on a distant human-robot interaction scenario

R García, R Mahu, N Grágeda, A Luzanto… - Proc. Interspeech …, 2024 - isca-archive.org
Human-robot interaction (HRI) is becoming a truly relevant topic imposing many challenges
for state-of-the-art speech technology. This paper describes the first evaluation of speech …

Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture

O Cohen, G Hazan, S Gannot - arXiv preprint arXiv:2406.03272, 2024 - arxiv.org
Most emotion recognition systems fail in real-life situations (in the wild scenarios) where the
audio is contaminated by reverberation. Our study explores new methods to alleviate the …

[PDF][PDF] Analysis of the influence of different room acoustics on acoustic emotion features

J Höbel-Müller, I Siegert, R Heinemann… - Konferenz Elektronische …, 2019 - essv.de
In automatic analyses of speech and emotion recognition, it has to be ensured that training
and test conditions are similar. The presented study aims to investigate the influence of …

[PDF][PDF] Filtering-based analysis of spectral and temporal effects of room modes on low-level descriptors of emotionally coloured speech

M Gottschalk, J Höbel-Müller, I Siegert… - Konferenz …, 2020 - academia.edu
Emotion recognition in far-field speech is challenging due to various acoustic factors. The
present contribution especially considers dominant lowfrequency room modes which are …

An investigation of the accuracy of real time speech emotion recognition

JS Deusi, EI Popa - Artificial Intelligence XXXVI: 39th SGAI International …, 2019 - Springer
This paper presents an investigation of speech emotion systems and how the accuracy can
be further improved by exploring machine learning algorithms and hybrid solutions. The …