Results 31 to 40 of about 417,336 (324)
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 +3 more
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Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models
Sensors, 2021 The advancements in neural networks and the on-demand need for accurate and near real-time Speech Emotion Recognition (SER) in human–computer interactions make it mandatory to compare available methods and databases in SER to achieve feasible solutions ...
Babak Joze Abbaschian +2 more
doaj +1 more source
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
core +2 more sources
Italian National Conference on Sensors, 2023 Speech emotion recognition (SER) is a challenging task in human–computer interaction (HCI) systems. One of the key challenges in speech emotion recognition is to extract the emotional features effectively from a speech utterance.
Rizwan Ullah +9 more
semanticscholar +1 more source
A Vector Quantized Masked Autoencoder for Speech Emotion Recognition [PDF]
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023 Recent years have seen remarkable progress in speech emotion recognition (SER), thanks to advances in deep learning techniques. However, the limited availability of labeled data remains a significant challenge in the field.
Samir Sadok +2 more
semanticscholar +1 more source
Speech Emotion Recognition Based on Voice Rhythm Differences [PDF]
Jisuanji kexueSpeech 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
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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DWFormer: Dynamic Window Transformer for Speech Emotion Recognition [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Speech emotion recognition is crucial to human-computer interaction. The temporal regions that represent different emotions scatter in different parts of the speech locally.
Shuaiqi Chen +4 more
semanticscholar +1 more source
Speech Emotion Recognition Using Deep Learning Techniques: A Review
IEEE Access, 2019 Emotion recognition from speech signals is an important but challenging component of Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER), many techniques have been utilized to extract emotions from signals, including ...
Ruhul Amin Khalil +5 more
doaj +1 more source