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Improvement of Thai speech emotion recognition by using face feature analysis

Igor Stankovic, Montri Karnjanadecha, Vlado Delic
2011 2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS)  
"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

Amitoj Singh, Navkiran Kaur, Vinay Kukreja, Virender Kadyan, Munish Kumar
2022 Complex & Intelligent Systems  
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

Lawankorn Mookdarsanit, Pakpoom Mookdarsanit
2021 Indonesian Journal of Electrical Engineering and Computer Science  
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

LI ZHANG, WEI-DA ZHOU, TIAN-TIAN SU, LI-CHENG JIAO
2007 International journal on artificial intelligence tools  
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]

Jing Chen
2020 arXiv   pre-print
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

Babak Joze Abbaschian, Daniel Sierra-Sosa, Adel Elmaghraby
2021 Sensors  
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

Ruidan Su
2018 2018 International Conference on Image and Video Processing, and Artificial Intelligence  
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

Abdenour Hacine-Gharbi, Philippe Ravier
2019 Journal of King Saud University: Computer and Information Sciences  
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  
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]

Joseph P. Campbell, William M. Campbell, Alan V. McCree, Clifford J. Weinstein, Scott M. Lewandowski
2009 Cognitive Radio Technology  
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]

Joseph P. Campbell, William M. Campbell, Scott M. Lewandowski, Clifford J. Weinstein
2006 Cognitive Radio Technology  
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

Somchanok TIVATANSAKUL, Michiko OHKURA
2014 Transactions of Japan Society of Kansei Engineering  
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

Anuruk Nosan, Mahanakorn University of Technology, Suchada Sitjongsataporn, Mahanakorn University of Technology
2021 International Journal of Intelligent Engineering and Systems  
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

Wookey Lee, Jessica Jiwon Seong, Busra Ozlu, Bong Sup Shim, Azizbek Marakhimov, Suan Lee
2021 Sensors  
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

Tatyana Gennadievna Voloshina, Natalia Victorovna Fisunova
2019 Sovremennye Issledovaniâ Socialʹnyh Problem  
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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