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A Preliminary Investigation on Frequency Dependant Cues for Human Emotions

Manish Kumar, Thushara D. Abhayapala, Prasanga Samarasinghe
2022 Acoustics  
For that, an online perception test is conducted, in which participants are asked to rate the perceived emotions corresponding to each tone.  ...  emotion perspective.  ...  To date, studies on emotion recognition have been predominantly based on identifying cues from facial expression data [9, 17] , voice and speech data [18] , audio-visual data [9, 10] , and physiological  ... 
doi:10.3390/acoustics4020028 fatcat:ykcujf2j7zakrj5prgjenvgr3u

Research on Multimodal Music Emotion Recognition Method Based on Image Sequence

Zhao Yu, Bai Yuan Ding
2021 Scientific Programming  
Therefore, a multimodal music emotion recognition method based on image sequence is studied.  ...  the intelligent recognition and classification of multimodal music emotion.  ...  Based on the above analysis, a multimodal music emotion recognition method based on image sequence is proposed. e music emotion features including acoustic features, melody features, and audio features  ... 
doi:10.1155/2021/7087588 fatcat:5zbcovzo3veclggqszsqb62kte

Outlier processing in multimodal emotion recognition

Ge Zhang, Tianxiang Luo, Witold Pedrycz, Mohammed A.El-Meligy, Mohamed Sharaf, Zhiwu Li
2020 IEEE Access  
We design an automatic affective recognition model structure to analyze continuous dimension emotions based on multimodality (audio and visual). The LIRIS-ACCEDE database is used in this work.  ...  INDEX TERMS Multimodal emotion recognition, fuzzy weighted support vector machine for regression (FWSVR), continuous dimension emotional space, outlier processing.  ...  , fuzzy logic is applied to continuous dimension emotion recognition.  ... 
doi:10.1109/access.2020.2981760 fatcat:7f3sitq2kndf3aullqqvi53wqa

Climate and Weather: Inspecting Depression Detection via Emotion Recognition [article]

Wen Wu, Mengyue Wu, Kai Yu
2022 arXiv   pre-print
This paper uses pretrained features extracted from the emotion recognition model for depression detection, further fuses emotion modality with audio and text to form multimodal depression detection.  ...  Psychological research suggests that depressive mood is closely related with emotion expression and perception, which motivates the investigation of whether knowledge of emotion recognition can be transferred  ...  IEMOCAP provides both discrete categorical based annotations, and continuous attribute based annotations.  ... 
arXiv:2204.14099v1 fatcat:gqnasjpnu5avtgfxer6l6kqbfe

Feasibility of Music Composition Using Deep Learning-Based Quality Classification Models

Shuang Zhang, Kuruva Lakshmanna
2022 Wireless Communications and Mobile Computing  
Considering the aforementioned, the present paper uses a deep learning-based quality classification model for music composition feasibility.  ...  In recent years, neural network-based classification methods have also been investigated. 2005 researchers used neural networks for speech emotion recognition, and the same method can be used for emotion  ...  analysis of music [22, 23] . 2014 researchers extracted the underlying features of music and performed music emotion recognition based on recurrent neural networks.  ... 
doi:10.1155/2022/8123671 fatcat:ohnjg7pjcfhlfee3rtfqswzrpu

Speech Based Emotion Recognition Using Machine Learning

Vaibhav K. P.
2021 International Journal for Research in Applied Science and Engineering Technology  
Most of the present work involves the utterance of words which is used for lexical analysis for emotion recognition.  ...  Abstract: Speech emotion recognition is a trending research topic these days, with its main motive to improve the humanmachine interaction.  ...  PROBLEM DEFINITION AND OBJECTIVES For a dataset containing audio files of different actors, design a Speech Emotion Recognition (SER) system which will analyse audio using required machine learning techniques  ... 
doi:10.22214/ijraset.2021.39420 fatcat:76jeiv6ptng7lg4ml5jemyfhkq

Speech Emotion Recognition

Prof. Swethashree A
2021 International Journal for Research in Applied Science and Engineering Technology  
This is because the truth often reflects the basic feelings of tone and tone of voice. Emotional awareness is a fast-growing field of research in recent years.  ...  Keywords: Speech emotion recognition, mel cepstral coefficient, neural artificial network, multilayer perceptrons, mlp classifier, python.  ...  SPEECH EMOTION RECOGNITION USING MLP CLASSIFIER In Speech Emotion Recognition System (SER), audio files are provided as input.  ... 
doi:10.22214/ijraset.2021.37375 fatcat:zdj535iqgjhxfhqimzjeknfmvq

Research on Intelligent Recognition and Classification Algorithm of Music Emotion in Complex System of Music Performance

Daliang Wang, Xiaowen Guo, Huihua Chen
2021 Complexity  
different audio signals.  ...  In this paper, the research of human emotional intelligence recognition and classification algorithm in the complex system of music performance is proposed.  ...  How to classify audio information emotionally is to study different music performances and bring the best audio-visual effect to listeners.  ... 
doi:10.1155/2021/4251827 fatcat:ahdthb2wkndy3a6o4pbh2oj5c4

Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning [article]

Nicholas Farris, Brian Model, Richard Savery, Gil Weinberg
2021 arXiv   pre-print
Music emotion recognition has traditionally relied on the use of acoustic features, verbal features, and metadata-based filtering.  ...  Furthermore, our proposed approach builds upon the prior by classifying emotions under an expanded emotional taxonomy, using the Geneva Wheel of Emotion.  ...  Previous attempts to correlate emotion to audio or music are based on fewer emotions, and often rely on lyrics or song metadata for classification.  ... 
arXiv:2106.02556v2 fatcat:idtjreq65bhkblgxbje5rpkrdq

Quantification of Cinematography Semiotics for Video-based Facial Emotion Recognition in the EmotiW 2015 Grand Challenge

Albert C. Cruz
2015 Proceedings of the 2015 ACM on International Conference on Multimodal Interaction - ICMI '15  
The Emotion Recognition in the Wild challenge poses significant problems to state of the art auditory and visual affect quantification systems.  ...  To overcome the challenges, we investigate supplementary meta features based on film semiotics.  ...  Variations of the motion image concept continue to be used for emotion recognition (MHH in depression recognition [22] ).  ... 
doi:10.1145/2818346.2830592 dblp:conf/icmi/Cruz15 fatcat:6c42z4zcbvhddo7vn5zj4w2skm

Vocal Emotion Recognition in Mandarin-Speaking Cochlear Implanted Children

Haitao Guan, Wentao Gu
2019 Proceedings of the ICA congress  
lexical tone and emotion related intonation.  ...  For all three emotions, the CI group showed significantly lower recognition accuracy and longer reaction time than the NH group.  ...  In short, studies based on English-speaking individuals agree that CI have deficits in vocal emotional recognition, for both child and adult CI users.  ... 
doi:10.18154/rwth-conv-239673 fatcat:2fr5qdryareivnfwzu2rb5crbe

Construction of Vocal Timbre Evaluation System Based on Classification Algorithm

Ying Duan, Sheng Bin
2022 Scientific Programming  
With the continuous development of communication technology, computer technology, and network technology, a large amount of information such as images, videos, and audios has grown exponentially, and people  ...  It mainly includes the basic principles of audio classification, the analysis and extraction of music emotion features, and the selection of the best classifier.  ...  Since emotion is the main content of music, emotion-based music retrieval has also become an important research area. is paper focuses on music emotion classification techniques.  ... 
doi:10.1155/2022/6893128 fatcat:yulsl477tvf73lvmab3wangiju

Detecting expressions with multimodal transformers [article]

Srinivas Parthasarathy, Shiva Sundaram
2020 arXiv   pre-print
Among other cues such as voice activity and gaze, a person's audio-visual expression that includes tone of the voice and facial expression serves as an implicit signal of engagement between parties in  ...  This study investigates deep-learning algorithms for audio-visual detection of user's expression.  ...  PROPOSED METHODOLOGY This work addresses the continuous recognition of expression ( Figure 2 ).  ... 
arXiv:2012.00063v1 fatcat:zbcl4s76zvf4lasf5dz6fcvfrq

Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of 20 Emotions Through Machine Learning

Nicholas Farris, Brian Model, Richard Savery, Gil Weinberg
2021 Zenodo  
Music emotion recognition has traditionally relied on the use of acoustic features, verbal features, and metadata-based filtering.  ...  Furthermore, our proposed approach builds upon the prior by classifying emotions under an expanded emotional taxonomy, using the Geneva Wheel of Emotion.  ...  Previous attempts to correlate emotion to audio or music are based on fewer emotions, and often rely on lyrics or song metadata for classification.  ... 
doi:10.5281/zenodo.5040614 fatcat:docu6ml27fam3ckcaltcwcwznm

Mechanisms Underlying the Effects of Sexy and Humorous Content in Advertisements

Johnny V. Sparks, Annie Lang
2014 Communication monographs  
Research demonstrates that both lead to increased attention to and memory for advertising as well as increasingly positive emotional experiences  ...  More resources are allocated to ads with an overall unpleasant compared to pleasant tone and the addition of sexy and humorous content to unpleasant compared to pleasant ads results in better memory.  ...  Emotional Tone and Content Type As is obvious from the above discussion, based on the LC4MP perspective, we expected to see effects of emotional tone and content type on the three dependent variables-total  ... 
doi:10.1080/03637751.2014.976236 fatcat:qtu3fxza7rd5veverqwym7vc3m
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