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Build a Model for Speech Emotion Recognition using Gaussian Mixture Model (GMM)

2023 2nd International Conference on Futuristic Technologies (INCOFT), 2023
Tirumalasetti Teja Sri   +3 more
openaire   +1 more source

Speech Emotion Recognition using Gaussian Mixture Model (GMM) and K-Nearest Neighbors (KNN)

This paper aimed to propose a novel methodology to improve the accuracy and efficiency of speech emotion recognition, through to the multilingual setting. The paper’s topic was the low precision obtained by the systems for speech emotion recognition, especially in multilingual settings.
Kirtika Iyer   +3 more
openaire   +1 more source

Gaussian mixture model with feature selection: An embedded approach

Computers and Industrial Engineering, 2021
Teresa Wu, Xiaonan Liu
exaly  

Gaussian Mixture Model Clustering-Based Knock Threshold Learning in Automotive Engines

IEEE/ASME Transactions on Mechatronics, 2020
Xun Shen, Yahui Zhang, Tielong Shen
exaly  

Using Gaussian Mixture Model (GMM) Technique for Automatic Speaker Recognition

2015
Afolabi Lateef Olashile   +3 more
openaire   +1 more source

Compressive Sensing by Learning a Gaussian Mixture Model From Measurements

IEEE Transactions on Image Processing, 2015
Jianbo Yang, Xuejun Liao, Xin Yuan
exaly  

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