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Learning spontaneity to improve emotion recognition in speech [PDF]
, 2018 We investigate the effect and usefulness of spontaneity (i.e. whether a given speech is spontaneous or not) in speech in the context of emotion recognition.
Guha, Tanaya, Mangalam, Karttikeya
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Emotion Recognition from Speech
CoRR, 2019 In this work, we conduct an extensive comparison of various approaches to speech based emotion recognition systems. The analyses were carried out on audio recordings from Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS). After pre-processing the raw audio files, features such as Log-Mel Spectrogram, Mel-Frequency Cepstral ...
Kannan Venkataramanan +1 more
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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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ASR-based Features for Emotion Recognition: A Transfer Learning Approach [PDF]
, 2018 During the last decade, the applications of signal processing have drastically improved with deep learning. However areas of affecting computing such as emotional speech synthesis or emotion recognition from spoken language remains challenging.
Dutoit, Thierry +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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Emotion recognition from speech: tools and challenges [PDF]
, 2015 Human emotion recognition from speech is studied frequently for its importance in many applications, e.g. human-computer interaction. There is a wide diversity and non-agreement about the basic emotion or emotion-related states on one hand and about ...
Al-Talabani +8 more
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Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models [PDF]
, 2016 Automatic emotion recognition from speech has been recently focused on the prediction of time-continuous dimensions (e.g., arousal and valence) of spontaneous and realistic expressions of emotion, as found in real-life interactions.
Martinelli, E +4 more
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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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