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Exploring Alexithymia, Uncertainty, Anxious Arousal, and Social Anxiety as Mediators of the Relationship Between Sensory Processing Differences and Restricted and Repetitive Behaviors in Autistic Adults

Autism Research, EarlyView.
ABSTRACT Restricted and repetitive behaviors (RRB) are associated with sensory processing (SP) differences for autistic people, and are thought to be a coping strategy to help manage the sensory environment. Previous work shows that, for autistic people, alexithymia, intolerance of uncertainty (IU), and anxiety mediate the relationship between SP ...
Heather L. Moore, Samuel Brice, Natalya Spraggon, Barry Ingham, Mark Freeston, Jeremy R. Parr, Jacqui Rodgers   +6 more
wiley   +1 more source

An Examination of Racial Bias in Scoring the Autism Diagnostic Observation Schedule (ADOS) Module 3: An Item Response Theory Analysis

Autism Research, EarlyView.
ABSTRACT Given the rising prevalence of autism among racial minority children in the United States, but persistent service use disparities, this study examines potential bias in specific items from the autism diagnostic observation schedule (ADOS), a highly regarded autism evaluation.
Yuen Yvonne Yu, Austin Wyman, Calliana J. Faulk, Lizzy J. Fulop, Rebecca L. Greenberg, Rachel M. Benecke, Lauren K. Steinbeck, Jessica Foy, Caitlyn Kim, George O. Emory, Eric A. Storch, Casey J. Zampella, Benjamin E. Yerys, Robert T. Schultz, Julia Parish‐Morris, John D. Herrington, Caitlin C. Clements   +16 more
wiley   +1 more source

Emotion Recognition using Imperfect Speech Recognition [PDF]

, 2009
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Speech Emotion Recognition Using Deep Learning

International Conference on Computational Collective Intelligence, 2023
Speech emotion recognition is the task of automatically detecting the emotional state of a speaker from their spoken words. It is a growing area of research that has applications in various fields such as human computer interaction, education, and ...
Kartikeya Srinivas Chintalapudi, Irfan Ali Khan Patan, Harsha Vardhan Sontineni, Venkata Saroj Kushwanth Muvvala, S. Gangashetty, A. Dubey   +5 more
semanticscholar   +1 more source

Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing, 2023
Speech emotion recognition has always been one of the topics that have attracted a lot of attention from many researchers. In traditional feature fusion methods, the speech features used only come from the data set, and the weak robustness of features ...
Zheng Liu, Xin Kang, Fuji Ren
semanticscholar   +1 more source

Speech emotion recognition

2014 International Conference on Advances in Electronics Computers and Communications, 2014
In the past decade a lot of research has gone into Automatic Speech Emotion Recognition(SER). The primary objective of SER is to improve man-machine interface. It can also be used to monitor the psycho physiological state of a person in lie detectors. In recent time, speech emotion recognition also find its applications in medicine and forensics.
S. Lalitha, Abhishek Madhavan, Bharath Bhushan, Srinivas Saketh   +3 more
openaire   +1 more source

The Acoustically Emotion-Aware Conversational Agent With Speech Emotion Recognition and Empathetic Responses

IEEE Transactions on Affective Computing, 2023
Emotion is important for the conversational user interface. In prior research, conversational agents (CAs) employ natural language process techniques to create affective interaction based on text. However, the use of acoustic features of speech for voice-
Jiaxiong Hu, Yun Huang, Xiaozhu Hu, Ying-Qing Xu   +3 more
semanticscholar   +1 more source

Italian Speech Emotion Recognition

2023 24th International Conference on Digital Signal Processing (DSP), 2023
Affective computing is gaining increased interest by the scientific community in the last decades with the acoustic modality playing a central role. This paper presents an extensive computational analysis of emotional speech focusing on the Italian language.
Mantegazza, Irene, Ntalampiras, Stavros
openaire   +1 more source

Speech emotion recognition using machine learning

AIP Conference Proceedings
– Speech Emotion Recognition (SER) system using machine learning techniques. It utilizes the RAVDESS dataset to identify emotions such as happiness, sadness, anger, and calm from speech.
Krishna Prakash Rajagopal, Absarkhan Kather Hussain, A. Veeramani, Gurusurya Meiyapparaj, Hariharan Ashokan   +4 more
semanticscholar   +1 more source

Odyssey 2024 - Speech Emotion Recognition Challenge: Dataset, Baseline Framework, and Results

The Speaker and Language Recognition Workshop
The Odyssey 2024 Speech Emotion Recognition (SER) Challenge aims to enhance innovation in recognizing emotions from spontaneous speech, moving beyond traditional datasets derived from acted scenarios.
Lucas Goncalves, Ali N. Salman, Abinay Reddy Naini, Laureano Moro Velázquez, Thomas Thebaud, Leibny Paola, Najim Garcia, Berrak Dehak, Carlos Sisman, Busso   +9 more
semanticscholar   +1 more source