Results 211 to 220 of about 15,605 (256)

Methodological challenges in content‐based citation analysis: Expertise, reliability, and the primacy of citance identification

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Content‐based citation analysis seeks to capture the meaning and functions of citations but continues to face unresolved methodological challenges. This study analyzes a stratified sample of library and information science publications to examine how citance segmentation and annotator expertise influence the consistency of classification ...
Zehra Taşkın
wiley   +1 more source

The Network Model of Mentalization, Social Vulnerability, and the Self in Autism: A Comparison With Neurotypical Adults

Autism Research, EarlyView.
ABSTRACT Autism spectrum disorder (ASD) is characterized by alterations in social understanding and self‐related experience that overlap with broader dimensions of psychosocial vulnerability. These domains are tightly interconnected, motivating the use of analytic approaches that can capture their organization as complex associations rather than as ...
Szilárd Holka, Dániel Sörnyei, Ágota Vass, Levente Rónai, Kinga Farkas   +4 more
wiley   +1 more source

Auditory Sensitivity in Autism: A Systematic Review of Mismatch Negativity and Mismatch Field Responses

Autism Research, EarlyView.
ABSTRACT Auditory mismatch responses—mismatch negativity (MMN) and mismatch fields (MMF)—are well established electrophysiological markers of automatic auditory discrimination supported by short‐term sensory memory. These responses, typically elicited using passive oddball paradigms, are increasingly used to investigate sensory and language processing ...
Sara Cacciato‐Salcedo, Shreya Jaokar, Neil J. Ingham, Manuel S. Malmierca, Marija M. Petrinovic   +4 more
wiley   +1 more source

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Emotion recognition from speech: a review

International Journal of Speech Technology, 2012
Emotion recognition from speech has emerged as an important research area in the recent past. In this regard, review of existing work on emotional speech processing is useful for carrying out further research. In this paper, the recent literature on speech emotion recognition has been presented considering the issues related to emotional speech corpora,
Shashidhar G Koolagudi, Koolagudi Shashidhar G, Rao K Sreenivasa   +2 more
exaly   +2 more sources

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

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

Application of Emotion Recognition and Modification for Emotional Telugu Speech Recognition

Mobile Networks and Applications, 2018
Majority of the automatic speech recognition systems (ASR) are trained with neutral speech and the performance of these systems are affected due to the presence of emotional content in the speech. The recognition of these emotions in human speech is considered to be the crucial aspect of human-machine interaction.
Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Anil Kumar Vuppala   +2 more
openaire   +1 more source

Recognition of emotions in speech by a hierarchical approach

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, 2009
This paper deals with speech emotion analysis within the context of increasing awareness of the wide application potential of affective computing. Unlike most works in the literature which mainly rely on classical frequency and energy based features along with a single global classifier for emotion recognition, we propose in this paper some new ...
Xiao, Zhongzhe, Dellandréa, Emmanuel, Chen, Liming, Dou, Weibei   +3 more
openaire   +1 more source

Multiroom Speech Emotion Recognition

2022 30th European Signal Processing Conference (EUSIPCO), 2022
Erez Shalev, Israel Cohen
openaire   +2 more sources

Speech Emotion Recognition Using CNN

Proceedings of the 22nd ACM international conference on Multimedia, 2014
Deep learning systems, such as Convolutional Neural Networks (CNNs), can infer a hierarchical representation of input data that facilitates categorization. In this paper, we propose to learn affect-salient features for Speech Emotion Recognition (SER) using semi-CNN. The training of semi-CNN has two stages.
Zhengwei Huang, Ming Dong 0001, Qirong Mao, Yongzhao Zhan 0001   +3 more
openaire   +1 more source