Recognition of affective prosody in bipolar and depressive conditions: A systematic review and meta-analysis
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) …
(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 …
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
Mood disorders, including unipolar depression (UD) and bipolar disorder (BD), have
become some of the commonest mental health disorders. The absence of diagnostic …
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
proposes to analyze the neuronal activity related to the discrimination of emotional …