Recognition of affective prosody in bipolar and depressive conditions: A systematic review and meta-analysis

E Tang, M Zhang, Y Chen, Y Lin, H Ding - Journal of Affective Disorders, 2022 - Elsevier
Background Inconsistent results have been reported about the affective prosody recognition
(APR) ability in patients with bipolar (BD) and depressive (DD) disorders. We aimed to (i) …

Auditory mismatch detection, distraction, and attentional reorientation (MMN-P3a-RON) in neurological and psychiatric disorders: A review

E Justo-Guillén, J Ricardo-Garcell… - International Journal of …, 2019 - Elsevier
Involuntary attention allows for the detection and processing of novel and potentially
relevant stimuli that lie outside of cognitive focus. These processes comprise change …

Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses

KY Huang, CH Wu, MH Su - Pattern Recognition, 2019 - Elsevier
Mood disorders, including unipolar depression (UD) and bipolar disorder (BD), have
become some of the commonest mental health disorders. The absence of diagnostic …

[HTML][HTML] Speech feature selection and emotion recognition based on weighted binary cuckoo search

Z Zhang - Alexandria Engineering Journal, 2021 - Elsevier
In this paper, a hybrid system is proposed for speech emotion recognition (SER). The
algorithm in this paper adopts a two-stage design concept. In the first stage, we use the …

Auditory mismatch negativity in bipolar disorder: a focused review

A Raggi, G Lanza, R Ferri - Reviews in the Neurosciences, 2022 - degruyter.com
The auditory mismatch negativity, a component of the event-related potential elicited by an
unexpected stimulus in a sequence of acoustic stimuli, provides an objective measure of the …

Combined CNN LSTM with attention for speech emotion recognition based on feature-level fusion

Y Liu, A Chen, G Zhou, J Yi, J Xiang… - Multimedia Tools and …, 2024 - Springer
According to the problem that emotional features cannot be well represented by a single
feature and it is difficult to extract in the task of Speech Emotion Recognition (SER), we …

Speech Emotion Recognition Using RA-Gmlp Model on Time–Frequency Domain Features Extracted by TFCM

M Sha, W Yang, F Wei, Z Lu, M Chen, C Ma, L Zhang… - Electronics, 2024 - mdpi.com
Speech emotion recognition (SER) is a key branch in the field of artificial intelligence,
focusing on the analysis and understanding of emotional content in human speech. It …

Detecting Emotional Prosody in Real Words: Electrophysiological Evidence From a Modified Multifeature Oddball Paradigm

C Kao, Y Zhang - Journal of Speech, Language, and Hearing Research, 2023 - ASHA
Purpose: Emotional voice conveys important social cues that demand listeners' attention
and timely processing. This event-related potential study investigated the feasibility of a …

[HTML][HTML] 语音情感识别研究综述

高庆吉, 赵志华, 徐达, 邢志伟 - 智能系统学报, 2020 - html.rhhz.net
针对语音情感识别研究体系进行综述. 这一体系包括情感描述模型, 情感语音数据库,
特征提取与降维, 情感分类与回归算法4 个方面的内容. 本文总结离散情感模型 …

Electroencephalographic correlate of Mexican Spanish emotional speech processing in autism spectrum disorder: To a social story and robot-based intervention

MM Duville, LM Alonso-Valerdi… - Frontiers in Human …, 2021 - frontiersin.org
Socio-emotional impairments are key symptoms of Autism Spectrum Disorders. This work
proposes to analyze the neuronal activity related to the discrimination of emotional …