(2010). An overview and preparation for recognition of emotion from speech signal with multi modal fusion. In ICCAE’2010 proceedings , Singapore (pp. 446–452).A. P. Meshram, S. D. Shirbahadurkar, A. Kohok, S. Jadhav, “An Overview and Preparation for Recognition of Emotion from ...
2325 A STUDY ON THE ADVERSE IMPACT OF SYNTHETIC SPEECH ON SPEECH RECOGNITION 9834 A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based Emotion Recognition 6974 A TARGETED ADVERSARIAL ATTACK METHOD FOR MULTI-CLASSIFICATION MALICIOUS TRAFFIC DETECTION 11909 A TIME-FR...
and an overview of serious therapeutic games. Section “State-of-the-Art in ModelingEmotion-Cognition Interaction” discusses the state-of-the-art in computational models of emotion–cognition interaction, focusing onsymbolic models. Section “Modeling Mechanisms of Psychopathology and Therapeutic Action ...
(Ravikumar et al., 2009). It is the coefficients of theFourier transformof the logarithmic magnitude spectrum (Q. Z.Wu et al., 1997) ofLPC. Cepstral analysis can perfectly symbolizespeech waveformsin the field ofspeech emotion recognitionbecause of its ability and features (Ravikumar et al.,...
Human-robot emotional interaction has developed rapidly in recent years, in which speech emotion recognition plays a significant role. In this paper, a speech emotion recognition method based on an improved brain emotional learning (BEL) model is proposed, which is inspired by the emotional processin...
Speech emotion recognitionSpeech featureTrend analysisThis article analyses research in speech emotion recognition ("SER") from 2006 to 2017 in order to identify the current focus of research, and areas in which research is lacking. The objective is to examine what is being done in this field ...
Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN - ScienceDirect Speech emotion recognition plays an increasingly important role in emotional computing and is still a challenging task due to its complexity. In this study... Z Yao...
The analysis of the opinions of customers and users has been always of great interest in supporting decision-making in many fields, especially in marketing
Speech synthesis in the field of Computer Science refers to the technology that enables computers to generate clear, natural, and fluent speech. It involves different levels of converting text, concepts, and intentions into speech, mimicking the processes of speech formation in the human brain. This...
Traditionally, speech perception has been described as classifying linguistic units (e.g., phonemes, words) from a mixture of detailed acoustic information that contains both phonetically relevant and irrelevant information. From: Neurobiology of Language, 2016 ...