The Sound of Emotional Prosody: Nearly 3 Decades of Research and Future Directions

P Larrouy-Maestri, D Poeppel… - Perspectives on …, 2024 - journals.sagepub.com
Emotional voices attract considerable attention. A search on any browser using “emotional
prosody” as a key phrase leads to more than a million entries. Such interest is evident in the …

Emotion recognition from speech using spectrograms and shallow neural networks

A Slimi, M Hamroun, M Zrigui, H Nicolas - Proceedings of the 18th …, 2020 - dl.acm.org
Emotions add meaning to the conversation between individuals and allow us to better
understand each other. Besides, Human-Computer interaction has produced significant …

A critical insight into multi-languages speech emotion databases

SAA Qadri, TS Gunawan, MF Alghifari, H Mansor… - Bulletin of Electrical …, 2019 - beei.org
With increased interest of human-computer/human-human interactions, systems deducing
and identifying emotional aspects of a speech signal has emerged as a hot research topic …

[PDF][PDF] Hybrid Time Distributed CNN-transformer for Speech Emotion Recognition.

A Slimi, H Nicolas, M Zrigui - ICSOFT, 2022 - pdfs.semanticscholar.org
Due to the success of transformers in recent years, a growing number of researchers are
using them in a variety of disciplines. Due to the attention mechanism, this revolutionary …

Feature extraction technique based on Conv1D and Conv2D network for Thai speech emotion recognition

N Prombut, S Waijanya, N Promrit - Proceedings of the 2021 5th …, 2021 - dl.acm.org
Speech Emotion Recognition is one of the challenges in Natural Language Processing
(NLP) area. There are many factors used to identify emotions in speech, such as pitch …

Comparative analysis of different classifiers for speech emotion recognition

A Madhavi, A Priya Valentina, K Mounika… - … on Advances in …, 2021 - Springer
Abstract Speech Emotion Recognition has been a vital topic of research in human–machine
interface applications for many years. It attempts to make human–machine interactions more …

Employing machine learning for multi-perspective emotional health analysis

M Mangla, R Akhare, S Deokar, V Mehta - Emotion and Information …, 2020 - Springer
Human emotion is undoubtedly the most fundamental aspect of human relationships and
thus guides human to distinguish among right and wrong human behavior. Also, emotional …

Two-dimensional cepstrum analysis approach in emotion recognition from speech

I Guoth, M Chmulík, J Polacký… - 2016 39th International …, 2016 - ieeexplore.ieee.org
In this paper we propose two-dimensional cepstrum analysis approach applied in the
emotion recognition task in continuous space. Experiments has been done on IEMOCAP …

[PDF][PDF] Reconocimiento de Emociones a Partir de Voz mediante Shallow ANN

JM Moreno - 2024 - oa.upm.es
En este trabajo se propone el diseño y desarrollo de una red neuronal de una sola capa
oculta capaz de reconocer emociones a partir de la voz. El clasificador es entrenado y …