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Jialin Zhang, Mairidan Wushouer, Gulanbaier Tuerhong and Hanfang Wang
Emotional speech synthesis is an important branch of human?computer interaction technology that aims to generate emotionally expressive and comprehensible speech based on the input text. With the rapid development of speech synthesis technology based on ...
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Ismail Shahin, Ali Bou Nassif, Rameena Thomas and Shibani Hamsa
Modern developments in machine learning methodology have produced effective approaches to speech emotion recognition. The field of data mining is widely employed in numerous situations where it is possible to predict future outcomes by using the input se...
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Zhichao Peng, Wenhua He, Yongwei Li, Yegang Du and Jianwu Dang
Speech emotion recognition is a critical component for achieving natural human?robot interaction. The modulation-filtered cochleagram is a feature based on auditory modulation perception, which contains multi-dimensional spectral?temporal modulation repr...
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Matthieu Saumard
Speech Emotions Recognition (SER) has gained significant attention in the fields of human?computer interaction and speech processing. In this article, we present a novel approach to improve SER performance by interpreting the Mel Frequency Cepstral Coeff...
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Ali Bou Nassif, Ismail Shahin, Mohammed Lataifeh, Ashraf Elnagar and Nawel Nemmour
Speech signals carry various bits of information relevant to the speaker such as age, gender, accent, language, health, and emotions. Emotions are conveyed through modulations of facial and vocal expressions. This paper conducts an empirical comparison o...
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Muhammad Atif and Valentina Franzoni
Users of web or chat social networks typically use emojis (e.g., smilies, memes, hearts) to convey in their textual interactions the emotions underlying the context of the communication, aiming for better interpretability, especially for short polysemous...
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Sung-Woo Byun and Seok-Pil Lee
The goal of the human interface is to recognize the user?s emotional state precisely. In the speech emotion recognition study, the most important issue is the effective parallel use of the extraction of proper speech features and an appropriate classific...
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Unai Zabala, Igor Rodriguez, José María Martínez-Otzeta and Elena Lazkano
Social robots must master the nuances of human communication as a mean to convey an effective message and generate trust. It is well-known that non-verbal cues are very important in human interactions, and therefore a social robot should produce a body l...
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Ravikumar Patel and Kalpdrum Passi
In the derived approach, an analysis is performed on Twitter data for World Cup soccer 2014 held in Brazil to detect the sentiment of the people throughout the world using machine learning techniques. By filtering and analyzing the data using natural lan...
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Sara Sekkate, Mohammed Khalil, Abdellah Adib and Sofia Ben Jebara
Because one of the key issues in improving the performance of Speech Emotion Recognition (SER) systems is the choice of an effective feature representation, most of the research has focused on developing a feature level fusion using a large set of featur...
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