Results 31 to 40 of about 15,605 (256)
Speech Emotion Recognition Based on Voice Rhythm Differences [PDF]
Jisuanji kexueSpeech emotion recognition has an important application prospect in financial anti-fraud and other fields,but it is increasingly difficult to improve the accuracy of speech emotion recognition.The existing methods of speech emotion recognition based on ...
ZHANG Jiahao, ZHANG Zhaohui, YAN Qi, WANG Pengwei
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Artificial Neural Network vs. Support Vector Machine For Speech Emotion Recognition
Tikrit Journal of Pure Science, 2023 Today, the subject of emotion recognition from speech got the attention of many researchers who are interested in the topic of speech recognition and it has engaged in many applications.
Mohamed. A. Ahmad
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Speaker Attentive Speech Emotion Recognition [PDF]
Interspeech 2021, 2021 Speech Emotion Recognition (SER) task has known significant improvements over the last years with the advent of Deep Neural Networks (DNNs). However, even the most successful methods are still rather failing when adaptation to specific speakers and scenarios is needed, inevitably leading to poorer performances when compared to humans. In this paper, we
Clément Le Moine +2 more
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Speech Emotion Recognition Using an Enhanced Kernel Isomap for Human-Robot Interaction
International Journal of Advanced Robotic Systems, 2013 Speech emotion recognition is currently an active research subject and has attracted extensive interest in the science community due to its vital application to human-robot interaction.
Shiqing Zhang +2 more
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Sensors, 2020 Speech emotion recognition often encounters the problems of data imbalance and redundant features in different application scenarios. Researchers usually design different recognition models for different sample conditions. In this study, a speech emotion
Zhen-Tao Liu +4 more
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Occupational Therapy International, 2022 In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the ...
Qinying Yuan
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Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning
IEEE Access, 2017 Whispered speech, as an alternative speaking style for normal phonated (non-whispered) speech, has received little attention in speech emotion recognition.
Jun Deng +3 more
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Decision tree SVM model with Fisher feature selection for speech emotion recognition
EURASIP Journal on Audio, Speech, and Music Processing, 2019 The overall recognition rate will reduce due to the increase of emotional confusion in multiple speech emotion recognition. To solve the problem, we propose a speech emotion recognition method based on the decision tree support vector machine (SVM) model
Linhui Sun, Sheng Fu, Fu Wang
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Speech Emotion Recognition Based on Two-Stream Deep Learning Model Using Korean Audio Information
Applied Sciences, 2023 Identifying a person’s emotions is an important element in communication. In particular, voice is a means of communication for easily and naturally expressing emotions.
A-Hyeon Jo, Keun-Chang Kwak
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An Urdu speech corpus for emotion recognition [PDF]
PeerJ Computer Science, 2022 Emotion recognition from acoustic signals plays a vital role in the field of audio and speech processing. Speech interfaces offer humans an informal and comfortable means to communicate with machines. Emotion recognition from speech signals has a variety
Awais Asghar +4 more
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