Results 31 to 40 of about 195,949 (260)

Leveraging Speech PTM, Text LLM, And Emotional TTS For Speech Emotion Recognition [PDF]

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023
In this paper, we explored how to boost speech emotion recognition (SER) with the state-of-the-art speech pre-trained model (PTM), data2vec, text generation technique, GPT-4, and speech synthesis technique, Azure TTS.
Ziyang Ma, Wen Wu, Zhisheng Zheng, Yiwei Guo, Qian Chen, Shiliang Zhang, Xie Chen   +6 more
semanticscholar   +1 more source

Speech Emotion Recognition Based on Selective Interpolation Synthetic Minority Over-Sampling Technique in Small Sample Environment

Sensors, 2020
Speech emotion recognition often encounters the problems of data imbalance and redundant features in different application scenarios. Researchers usually design different recognition models for different sample conditions. In this study, a speech emotion
Zhen-Tao Liu, Bao-Han Wu, Dan-Yun Li, Peng Xiao, Jun-Wei Mao   +4 more
doaj   +1 more source

Speech Emotion Recognition Using an Enhanced Kernel Isomap for Human-Robot Interaction

International Journal of Advanced Robotic Systems, 2013
Speech emotion recognition is currently an active research subject and has attracted extensive interest in the science community due to its vital application to human-robot interaction.
Shiqing Zhang, Xiaoming Zhao, Bicheng Lei   +2 more
doaj   +1 more source

A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm

Occupational Therapy International, 2022
In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the ...
Qinying Yuan
doaj   +1 more source

Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition [PDF]

IEEE International Conference on Acoustics, Speech, and Signal Processing
The mainstream paradigm of speech emotion recognition (SER) is identifying the single emotion label of the entire utterance. This line of works neglect the emotion dynamics at fine temporal granularity and mostly fail to leverage linguistic information ...
Siyuan Shen, Yu Gao, Feng Liu, Hanyang Wang, Aimin Zhou   +4 more
semanticscholar   +1 more source

Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition [PDF]

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022
Speech emotion recognition (SER) plays a vital role in improving the interactions between humans and machines by inferring human emotion and affective states from speech signals.
Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan   +5 more
semanticscholar   +1 more source

Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning

IEEE Access, 2017
Whispered speech, as an alternative speaking style for normal phonated (non-whispered) speech, has received little attention in speech emotion recognition.
Jun Deng, Sascha Fruhholz, Zixing Zhang, Bjorn Schuller   +3 more
doaj   +1 more source

Classification Research on Emotion in Speech of Grid Customers Based on AutoML

Zhejiang dianli, 2022
The recognition of emotion in speech of customers is of great significance to grid operation. However， the recognition model of emotion in speech is designed by experts， which imposes restrictions on the application of artificial intelligence. This paper
SHEN Ran, WANG Qingjuan, JIN Liangfeng, DING Qi   +3 more
doaj   +1 more source

An Urdu speech corpus for emotion recognition [PDF]

PeerJ Computer Science, 2022
Emotion recognition from acoustic signals plays a vital role in the field of audio and speech processing. Speech interfaces offer humans an informal and comfortable means to communicate with machines. Emotion recognition from speech signals has a variety
Awais Asghar, Sarmad Sohaib, Saman Iftikhar, Muhammad Shafi, Kiran Fatima   +4 more
doaj   +2 more sources

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, Xiaofen Xing, Weibin Zhang, Weidong Chen, Xiangmin Xu   +4 more
semanticscholar   +1 more source