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SPEECH EMOTION RECOGNITION

International Journal For Innovative Engineering and Management Research, 2022
Speech Emotion Recognition, abbreviated as SER, is the act of attempting to recognize human emotion and affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone and pitch. This is also the phenomenon that animals like dogs and horses employ to be able to understand human emotion.
D. Sriharsha, C. Akhil Reddy, P. Kranthi Kumar, R. Siva Kumar   +3 more
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Autoencoder With Emotion Embedding for Speech Emotion Recognition [PDF]

IEEE Access, 2021
An important part of the human-computer interaction process is speech emotion recognition (SER), which has been receiving more attention in recent years. However, although a wide diversity of methods has been proposed in SER, these approaches still cannot improve the performance.
Chenghao Zhang, Lei Xue
openaire   +2 more sources

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, Anton Batliner, Florian Eyben, Tim Polzehl, Björn W. Schuller, Stefan Steidl   +5 more
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Speaker Attentive Speech Emotion Recognition [PDF]

Interspeech 2021, 2021
Speech Emotion Recognition (SER) task has known significant improvements over the last years with the advent of Deep Neural Networks (DNNs). However, even the most successful methods are still rather failing when adaptation to specific speakers and scenarios is needed, inevitably leading to poorer performances when compared to humans. In this paper, we
Clément Le Moine, Nicolas Obin, Axel Roebel   +2 more
openaire   +3 more sources

Speech Emotion Recognition

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.
openaire   +2 more sources

Arousal and Valence Prediction in Spontaneous Emotional Speech: Felt versus Perceived Emotion [PDF]

, 2009
In this paper, we describe emotion recognition experiments carried out for spontaneous affective speech with the aim to compare the added value of annotation of felt emotion versus annotation of perceived emotion.
Jong, Franciska M.G. de, Leeuwen, David A. van, Neerincx, Mark A., Truong, Khiet P.   +3 more
core   +9 more sources

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, Xinzhou Xu, Zixing Zhang 0001, Sascha Frühholz, Björn W. Schuller   +4 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, Björn Schuller, Dino Seppi, Stefan Steidl, Laurence Devillers, Laurence Vidrascu, Thurid Vogt, Vered Aharonson, Noam Amir   +8 more
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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, Shifang Cai, Ce Wang
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Speech Emotion Recognition Based on Voice Rhythm Differences [PDF]

Jisuanji kexue
Speech emotion recognition has an important application prospect in financial anti-fraud and other fields,but it is increasingly difficult to improve the accuracy of speech emotion recognition.The existing methods of speech emotion recognition based on ...
ZHANG Jiahao, ZHANG Zhaohui, YAN Qi, WANG Pengwei
doaj   +1 more source