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Emotion recognition from spontaneous Slavic speech
2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom), 2012In this paper, we present a new approach for automatic recognition of emotional expressions from spontaneous Slavic speech. The speech corpus used in experiments is built from speech extracts obtained from real call center recordings involving four Slavic languages: Czech, Polish, Russian and Slovak.
Atassi H, SmeĢkal Z, ESPOSITO, Anna
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Emotion recognition in Arabic speech
2019 International Conference on Advanced Electrical Engineering (ICAEE), 2019The general objective of this paper is to build a system in order to automatically recognize emotion in speech. The linguistic material used is a corpus of Arabic expressive sentences phonetically balanced. The dependence of the system on speaker is an encountered problem in this field; in this work we will study the influence of this phenomenon on our
Imene Hadjadji +3 more
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Speech-oriented negative emotion recognition
2015 34th Chinese Control Conference (CCC), 2015Standard Back Propagation(BP) network is easily trapped into a local optimal solution. Two main approaches are commonly used to improve its appearance. One is to employ numerical optimization methods, this approach is simple and fast, but severe with computational storage, in addition could not guarantee convergence.
Liang He, Yuming Bo, Gaopeng Zhao
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Speech Emotion Recognition: A Comprehensive Survey
Wireless personal communications, 2023Mohammed Jawad Al-dujaili +1 more
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Emotion Recognition from Speech
2013Like ASR, emotion recognition can benefit from the merits of wavelet analysis. Similar methodologies may be followed based on WT similar to that used in speech recognition. Mainly, it is realized in literatures that WP parameters are responsive to emotions. Also, many results prove that wavelet-based features improve emotion recognition.
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Speech emotion recognition using MFCC-based entropy feature
Signal, Image and Video Processing, 2023S. P. Mishra, Pankaj Warule, S. Deb
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Multiroom Speech Emotion Recognition
2022 30th European Signal Processing Conference (EUSIPCO), 2022Erez Shalev, Israel Cohen
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Speech emotion recognition using deep 1D & 2D CNN LSTM networks
Biomedical Signal Processing and Control, 2019Jianfeng Zhao, Xia Mao, Lijiang Chen
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Survey on speech emotion recognition: Features, classification schemes, and databases
Pattern Recognition, 2011Moataz M. H. El Ayadi +2 more
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