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EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark
InterspeechSpeech emotion recognition (SER) is an important part of human-computer interaction, receiving extensive attention from both industry and academia. However, the current research field of SER has long suffered from the following problems: 1) There are few
Ziyang Ma +8 more
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Persian speech emotion recognition
2015 7th Conference on Information and Knowledge Technology (IKT), 2015Speech emotion recognition is one of the most challenging and the most interesting topics of the voice processing research in recent years. Performance enhancement and computational complexity mitigation are the subject matter of the current study. Current study proposes a speech emotion recognition method by employing HMM-based classifier and minimum ...
Mohammad Savargiv, Azam Bastanfard
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Improving Domain Generalization in Speech Emotion Recognition with Whisper
IEEE International Conference on Acoustics, Speech, and Signal ProcessingTransformers have been used successfully in a variety of settings, including Speech Emotion Recognition (SER). However, use of the latest transformer base models in domain generalization (DG) settings has mostly been unexplored or only weakly explored ...
Erik Goron +3 more
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SERC-GCN: Speech Emotion Recognition In Conversation Using Graph Convolutional Networks
IEEE International Conference on Acoustics, Speech, and Signal ProcessingSpeech emotion recognition (SER) is the task of automatically recognizing emotions expressed in spoken language. Current approaches focus on analyzing isolated speech segments to identify a speaker’s emotional state.
Deeksha Chandola +3 more
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Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics
International Journal of Innovative Science and Research TechnologySpeech is essential to human communication for expressing and understanding feelings. Emotional speech processing has challenges with expert data sampling, dataset organization, and computational complexity in large-scale analysis.
Zewar Shah, Shan Zhiyong, Adnan
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Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition
IEEE/ACM Transactions on Audio Speech and Language Processing, 2023This research presents a music theory-inspired acoustic representation (hereafter, MTAR) to address improved speech emotion recognition. The recognition of emotion in speech and music is developed in parallel, yet a relatively limited understanding of ...
Xingfeng Li +7 more
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Emotion Recognition from Speech
Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018In this position paper we present an approach for the recognition of emotions from speech. Our goal is to understand the affective state of learners upon a learning process. We propose an approach that uses visual representations of the spectrum of audio segments, which are classified using the Bag-of-Visual Words model.
Rozalia Nikopoulou +3 more
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Emotion Recognition from Speech
2017Spoken language is one of the main interaction patterns in human-human as well as in natural, companion-like human-machine interactions. Speech conveys content, but also emotions and interaction patterns determining the nature and quality of the user’s relationship to his counterpart.
Andreas Wendemuth +5 more
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2015
Recent years have been marked by a growing need for systems that can grasp human emotions and in particular, recognize emotions. Emotions lie at the centre of any social communication and form the basis for an intelligent and meaningful interaction. The chapter further discusses the acoustic correlates of emotions and describes various techniques and ...
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Recent years have been marked by a growing need for systems that can grasp human emotions and in particular, recognize emotions. Emotions lie at the centre of any social communication and form the basis for an intelligent and meaningful interaction. The chapter further discusses the acoustic correlates of emotions and describes various techniques and ...
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Speech Based Emotion Recognition
2014This chapter will examine current approaches to speech based emotion recognition. Following a brief introduction that describes the current widely utilised approaches to building such systems, it will attempt to broadly segregate components commonly involved in emotion recognition systems based on their function (i.e., feature extraction, normalisation,
Vidhyasaharan Sethu +2 more
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