Results 11 to 20 of about 417,336 (324)
IJARCCE: Attention has been drawn to Speech Emotion Detection (SED) due to its crucial role in understanding human emotional states through speech signals.
Kumari Deepika +4 more
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Speech emotion recognition based on emotion perception
EURASIP Journal on Audio, Speech, and Music Processing, 2023 Speech emotion recognition (SER) is a hot topic in speech signal processing. With the advanced development of the cheap computing power and proliferation of research in data-driven methods, deep learning approaches are prominent solutions to SER nowadays.
Gang Liu, Shifang Cai, Ce Wang
semanticscholar +3 more sources
Speech Emotion Recognition Using Semantic Information [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 Speech emotion recognition is a crucial problem manifesting in a multitude of applications such as human computer interaction and education. Although several advancements have been made in the recent years, especially with the advent of Deep Neural Networks (DNN), most of the studies in the literature fail to consider the semantic information in the ...
Tzirakis, Panagiotis +3 more
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Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition [PDF]
IEEE Transactions on Affective Computing, 2023 This article presents a paradigm that adapts general large-scale pretrained models (PTMs) to speech emotion recognition task. Although PTMs shed new light on artificial general intelligence, they are constructed with general tasks in mind, and thus ...
Weidong Chen +3 more
semanticscholar +1 more source
A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering
IEEE Access, 2023 Speech Emotion Recognition (SER) is a common aspect of human-computer interaction and has significant applications in fields such as healthcare, education, and elder care.
Li-Min Zhang +3 more
doaj +1 more source
Investigation of the Effect of Increased Dimension Levels in Speech Emotion Recognition
IEEE Access, 2022 In human-machine interaction systems, speech emotion recognition plays a key role. Recognition of categorical emotions has made a great improvement during the last few decades, but emotion recognition of spontaneous speech is still very challenging. This
Haiyan Wang, Xiaohui Zhao, Yanping Zhao
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Emotion recognition using imperfect speech recognition [PDF]
Interspeech 2010, 2010 This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can convey complementary evidence to the information extracted by classifiers based on spectral, or other non-linguistic features.
Metze, Florian +5 more
openaire +2 more sources
Foundation Model Assisted Automatic Speech Emotion Recognition: Transcribing, Annotating, and Augmenting [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Significant advances are being made in speech emotion recognition (SER) using deep learning models. Nonetheless, training SER systems remains challenging, requiring both time and costly resources.
Tiantian Feng, Shrikanth S. Narayanan
semanticscholar +1 more source
Speech emotion recognition method in educational scene based on machine learning
EAI Endorsed Transactions on Scalable Information Systems, 2022 In order to effectively improve the accuracy and anti noise performance of speech emotion recognition in educational scenes, a new method based on machine learning is studied. Based on the fundamental frequency and resonance degree, the speech emotional
Yanning Zhang, Gautam Srivastava
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