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Improvement of Thai speech emotion recognition by using face feature analysis
2011
2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS)
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"Improvement of Thai speech emotion recognition by using face feature analysis," Proceedings of the Nineteenth IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS ...
"Improvement of Thai speech emotion recognition using face feature analysis," International Review on
Emotion recognition systems that utilize only speech or facial expressions do not represent a realistic ...
THE LIST OF 972 MOST COMMON WORDS IN THAI * * only first two words are numbered, with 50 words (only in Thai) per page ...
doi:10.1109/ispacs.2011.6146092
dblp:conf/ispacs/StankovicKD11
fatcat:mqaocioohfebhgxctsmffhrj7i
Computational intelligence in processing of speech acoustics: a survey
2022
Complex & Intelligent Systems
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However, a limited number of automatic speech recognition systems are available for commercial use. ...
Analysis of the literature shows that lack of standard databases availability of minority languages hinder the research recognition research across the globe. ...
[119] incorporated tonal features such as F 0 and FFV to improve the recognition accuracy of Thai speech recognition. CNN was trained for acoustic modeling of the ASR system. ...
doi:10.1007/s40747-022-00665-1
fatcat:6pu2xccbq5as7bn2y2tav2fdwa
Combating the hate speech in Thai textual memes
2021
Indonesian Journal of Electrical Engineering and Computer Science
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The accuracy of Thai-OCR using convolutional neural network (CNN) can be improved by recurrent neural network (RNN). ...
scene text localization, Thai optical recognition (Thai-OCR) and language understanding. ...
textual meme detection as a new Thai-NLP application by setting the transmission linkage between scene text localization with Thai optical character recognition (Thai-OCR) and Thai hateful text understanding ...
doi:10.11591/ijeecs.v21.i3.pp1493-1502
fatcat:zmkd5to7arb35a7ytfhafm54mi
DECISION TREE SUPPORT VECTOR MACHINE
2007
International journal on artificial intelligence tools
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The accuracy of the emotion recognition should be improved in future studies by using semantic feature extractors or by incorporating deep learning for classification. ...
A total of 100 documents from children short stories are collected and used as the datasets of the text-based emotion recognition experiment. ...
For further improvement of the text-based emotion classifier, semantic text feature extraction is needed with a bigger dataset used for training. ...
doi:10.1142/s0218213007003163
fatcat:xehytnfxrjb2fckcpxkz6msyum
HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild
[article]
2020
arXiv
pre-print
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In order to provide a benchmark for emotion recognition, we used many conventional machine learning and deep learning methods to evaluate HEU Emotion. ...
After multi-modal fusion, the recognition accuracies for the two parts increased by 2.19% and 4.01% respectively over those of single-modal facial expression recognition. ...
As a perfect complement of emotion recognition, the analysis of body movement data has recently become more common. Speech is another critical channel for emotion recognition. ...
arXiv:2007.12519v1
fatcat:rivdx4s2wjhirb77qh6xafll4e
Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models
2021
Sensors
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The goal of this study is to provide a survey of the field of discrete speech emotion recognition. ...
The current study reviews deep learning approaches for SER with available datasets, followed by conventional machine learning techniques for speech emotion recognition. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21041249
pmid:33578714
pmcid:PMC7916477
fatcat:nj5ihjhvnfcxtk7hu3n4zx4bka
Front Matter: Volume 10836
2018
2018 International Conference on Image and Video Processing, and Artificial Intelligence
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using a Base 36 numbering system employing both numerals and letters. ...
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
Ruidan Su Network traffic prediction platform based on distributed stream processing and supported by R language [10836-71] 10836 27 Emotional perception analysis of chanting sound [10836-78] 10836 28 ...
doi:10.1117/12.2516621
fatcat:s4qjw53qhvf6jhkfsdnnhwzymm
On the optimal number estimation of selected features using joint histogram based mutual information for speech emotion recognition
2019
Journal of King Saud University: Computer and Information Sciences
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Mutual information (MI) has been previously used to select the relevant features for the task of speech emotion recognition (SER). ...
Moreover, using the recognition rate criterion, the JMI strategy gives a comparable feature reduction with slight improvement of performance but requiring very high computation capabilities. ...
Acknowledgements This work is part of the RAVIOLI project supported by the french Centre Val-de-Loire region under the contract #17055. ...
doi:10.1016/j.jksuci.2019.07.008
fatcat:2n3assyagrdh7fnjiymkmmjbkq
Facial Emotion Recognition: A Survey and Real-World User Experiences in Mixed Reality
2018
Sensors
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Figures 1 and 2 give an overall idea of the use of these machine learning and geometric feature based processes, respectively, in emotion recognition. ...
Using these regularities, faces, as well as emotions, can be recognized. ...
Conflicts of Interest: The authors declare that there are no conflict of interest as of the date of this publication. ...
doi:10.3390/s18020416
pmid:29389845
pmcid:PMC5856132
fatcat:xarznu77cva2zcd65tcyjg6ezi
Cognitive Services for the User
[chapter]
2009
Cognitive Radio Technology
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Software-defined cognitive radios (CRs) use voice as a primary input/output modality and are expected to have substantial computational resources capable of supporting advanced speech-and audio-processing ...
This chapter extends previous work on military speech applications (see, e.g., Ref. [1]) to cognitive-like services that enhance military mission capability by capitalizing on automatic processes, such ...
Given the proliferation and improving quality of cameras in cellular phones, CRs are also likely to have cameras that might be suitable for face recognition. ...
doi:10.1016/b978-0-12-374535-4.00010-2
fatcat:vfkpxwx44fglboly6i4uuzuece
Cognitive Services for the User
[chapter]
2006
Cognitive Radio Technology
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Software-defined cognitive radios (CRs) use voice as a primary input/output modality and are expected to have substantial computational resources capable of supporting advanced speech-and audio-processing ...
This chapter extends previous work on military speech applications (see, e.g., Ref. [1]) to cognitive-like services that enhance military mission capability by capitalizing on automatic processes, such ...
Given the proliferation and improving quality of cameras in cellular phones, CRs are also likely to have cameras that might be suitable for face recognition. ...
doi:10.1016/b978-075067952-7/50011-8
fatcat:nvbr63gi25fnxdh6lp4ntpmcnu
Healthcare System Focusing on Emotional Aspect using Augmented Reality
2014
Transactions of Japan Society of Kansei Engineering
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We also evaluated this application by performing the experiment. The stress and relaxation of the participants are measured using salivary amylase test. ...
Even though much recent research has proposed systems that provide assistance and services to people, these systems emphasize the support of the physical aspects at the expense of emotional aspects. ...
Three main categories of techniques are as follows: • Speech Emotion Recognition: identify emotional states of human by analyzing their voice [8] [9] [10] . ...
doi:10.5057/jjske.13.191
fatcat:gge2paa64zdj3mfo7hfdbzlobe
Enhanced Feature Extraction Based on Absolute Sort Delta Mean Algorithm and MFCC for Noise Robustness Speech Recognition
2021
International Journal of Intelligent Engineering and Systems
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The NOIZEUS noisy speech corpus dataset is used to evaluate the performance of proposed ASDM-MFCC algorithm by Euclidean distance method with the low computation complexity. ...
This method is used to suppress the noise effects by finding a rearranging average of power spectrum magnitude combined with triangular bandpass filtering. ...
According to previous researches, there are not yet improvements of feature extraction algorithm for THAI digits speech and THAI speaker recognition that will be faced a noisy environment. ...
doi:10.22266/ijies2021.0831.37
fatcat:dgrruyq4yvavpetaphtoy7htsq
Biosignal Sensors and Deep Learning-Based Speech Recognition: A Review
2021
Sensors
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Novel approaches should have been developed for speech recognition and production because that would seriously undermine the quality of life and sometimes leads to isolation from society. ...
We especially research various deep learning technologies related to voice recognition, including visual speech recognition, silent speech interface, and analyze its flow, and systematize them into a taxonomy ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21041399
pmid:33671282
fatcat:je4cmqkulnbmpbji3owxgr7f24
ENGLISH LANGUAGE VARIATIONS IN WRITTEN AND ORAL TYPES OF COMMUNICATION
2019
Sovremennye Issledovaniâ Socialʹnyh Problem
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All members of the speech community use positive and negative strategies to "preserve, maintain and improve the face" [3, p. 23]. P. Brown and S. ...
The question of the theory of speech acts applicability in the analysis of spontaneous dialogical speech has been raised by many linguists. ...
It is characterized by the use of explicit, neutral and independent context (decontextualization) and impersonal vocabulary. ...
doi:10.12731/2077-1770-2019-1-40-57
fatcat:be463f2qy5hhlpym7jiezjaklm
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