Results 21 to 30 of about 2,597,894 (294)
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
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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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Deep Representation Learning for Speech Emotion Recognition [PDF]
, 2022 The success of machine learning (ML) algorithms generally depends on the quality of data representation or features. Good representations of the data make it easier to develop machine learning predictors or even deep learning (DL) classifiers.
Latif, Siddique
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Speech emotion recognition based on emotion perception
EURASIP Journal on Audio, Speech, and Music Processing, 2023 AbstractSpeech 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 0037, Shifang Cai, Ce Wang
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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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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.
Florian Metze +5 more
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The Effect of Silence Feature in Dimensional Speech Emotion Recognition [PDF]
, 2020 Silence is a part of human-to-human communication, which can be a clue for human emotion perception. For automatic emotion recognition by a computer, it is not clear whether silence is useful to determine human emotion within a speech.
Atmaja, Bagus Tris +3 more
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Self-Attention for Speech Emotion Recognition [PDF]
Interspeech 2019, 2019 Speech Emotion Recognition (SER) has been shown to benefit from many of the recent advances in deep learning, including recurrent based and attention based neural network architectures as well. Nevertheless, performance still falls short of that of humans.
Lorenzo Tarantino +2 more
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Speech Emotion Recognition with ASR Integration [PDF]
CoRRPhD ...
Li, Yuanchao
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Semisupervised Autoencoders for Speech Emotion Recognition [PDF]
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018 Despite the widespread use of supervised learning methods for speech emotion recognition, they are severely restricted due to the lack of sufficient amount of labelled speech data for the training. Considering the wide availability of unlabelled speech data, therefore, this paper proposes semisupervised autoencoders to improve speech emotion ...
Jun Deng +4 more
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