Results 21 to 30 of about 15,605 (256)
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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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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Emotional Interactive Simulation System of English Speech Recognition in Virtual Context
Complexity, 2020 With the development of virtual scenes, the degree of simulation and functions of virtual reality have been very complete, providing a new platform and perspective for teaching design.
Dan Li
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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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IMPROVED SPEAKER-INDEPENDENT EMOTION RECOGNITION FROM SPEECH USING TWO-STAGE FEATURE REDUCTION
Journal of ICT, 2015 In the recent years, researchers are focusing to improve the accuracy of speech emotion recognition. Generally, high emotion recognition accuracies were obtained for two-class emotion recognition, but multi-class emotion recognition is still a ...
Hasrul Mohd Nazid +3 more
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International Journal for Research in Applied Science and Engineering Technology, 2021 Abstract: Speech Emotion Recognition, abbreviated as SER, the act of trying to identify a person's feelings and relationships. Affected situations from speech. This is because the truth often reflects the basic feelings of tone and tone of voice. Emotional awareness is a fast-growing field of research in recent years.
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Computer Speech Recognition Technology and Graphic Shape Design
Advances in Multimedia, 2022 In order to solve the problem of lack of multimodal emotional database, a computer speech recognition technology and graphic form design research were proposed.
Yuxi Niu
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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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The Automatic Recognition of Emotions in Speech [PDF]
, 2010 In this chapter, we focus on the automatic recognition of emotional states using acoustic and linguistic parameters as features and classifiers as tools to predict the ‘correct’ emotional states. We first sketch history and state of the art in this field; then we describe the process of ‘corpus engineering’, i.e.
Anton Batliner +8 more
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