Robuta

https://www.springerprofessional.de/en/speech-emotion-recognition-through-extraction-of-various-emotion/19208256
Identification of emotions along with the semantics from the speech signals is still one of the most challenging tasks because of the arising
speech emotion recognitionextractionvariousemotionalfeatures
https://arxiv.org/abs/2005.07757
Abstract page for arXiv paper 2005.07757: "I have vxxx bxx connexxxn!": Facing Packet Loss in Deep Speech Emotion Recognition
packet lossvxxxbxxfacing
https://www.amazon.science/publications/sentiment-aware-automatic-speech-recognition-pre-training-for-enhanced-speech-emotion-recognition
We propose a novel multi-task pre-training method for Speech Emotion Recognition (SER). We pre-train SER model simultaneously on Automatic Speech Recognition...
automatic speech recognitionpre trainingsentimentawareenhanced
https://aclanthology.org/O05-1013/
Tsang-Long Pao, Yu-Te Chen, Jun-Heng Yeh, Yuan-Hao Chang. Proceedings of the 17th Conference on Computational Linguistics and Speech Processing. 2005.
emotion recognitionevaluationmandarinspeechusing
https://arxiv.org/abs/2502.18186v3
Abstract page for arXiv paper 2502.18186v3: Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thought
speech emotion recognitionlanguage modelsteeringstable
https://zenodo.org/records/6221127
The model expects a raw audio signal as input and outputs predictions for arousal, dominance and valence in a range of approximately 0...1. In addition, it...
speech emotion recognitionmodeldimensionalbased