Results 41 to 50 of about 417,336 (324)

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

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

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 recognition from speech: tools and challenges [PDF]

, 2015
Human emotion recognition from speech is studied frequently for its importance in many applications, e.g. human-computer interaction. There is a wide diversity and non-agreement about the basic emotion or emotion-related states on one hand and about ...
Al-Talabani, Burkhardt, Dasgupta, Oster, Schuller, Schuller, Schuller, Vlasenko, Vogt   +8 more
core   +1 more source

Speech emotion recognition and text sentiment analysis for financial distress prediction

Neural computing & applications (Print), 2023
In recent years, there has been an increasing interest in text sentiment analysis and speech emotion recognition in finance due to their potential to capture the intentions and opinions of corporate stakeholders, such as managers and investors.
P. Hájek, Michal Munk
semanticscholar   +1 more source

Deep Learning Approaches for Bimodal Speech Emotion Recognition: Advancements, Challenges, and a Multi-Learning Model

IEEE Access, 2023
Though acoustic speech emotion recognition has been studied for a while, bimodal speech emotion recognition using both acoustic and text has gained momentum since speech emotion recognition doesn’t only involve the acoustic modality.
Samuel Kakuba, Alwin Poulose, Dong Seog Han   +2 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

Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files

IEEE Access, 2022
Emotion is a vital component in daily human communication and it helps people understand each other. Emotion recognition plays a crucial role in developing human-computer interaction and computer-based speech emotion recognition.
Felicia Andayani, Lau Bee Theng, Mark Teekit Tsun, Caslon Chua   +3 more
doaj   +1 more source