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An Efficient GMM Classification Post-Processing Method for Structural Gaussian Mixture Model Based Speaker Verification

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
In this paper a Gaussian mixture model (GMM) classifier, called GMM identifier, is proposed as an efficient post-processing method to enhance the performance of a CMM-based speaker verification system; such as Gaussian mixture model universal background model (GMM-UBM) and structural Gaussian mixture models with structural background model (SGMM-SBM ...
Rahim Saeidi   +2 more
openaire   +1 more source

Exoskeleton Control Based on Network of Stable Heteroclinic Channels (SHC) Combined with Gaussian Mixture Models (GMM)

2020
One of the major causes of disability and sick day leaves is lower back pain. Hence it can result in a decreased life quality and lower industrial productivity. One of the possible solutions to lower back pain could be the use of exoskeletons, which would reduce the spinal loading.
Tadej Petric, Marko Jamsek, Jan Babic
openaire   +1 more source

GMM-KNN: A Method for Processing Continuous k-NN Queries Based on The Gaussian Mixture Model

2018
For a given set of moving objects and a k nearest neighbor query q, the processing of Continuous K Nearest Neighbor (CKNN) query refers to search the k nearest objects for q and continuously monitor its result in real-time when the objects and the queries are constantly moving.
Ziqiang Yu, Mincai Lai, Lin Wang 0004
openaire   +1 more source

Unsupervised Clustering of 3D Hand Scans Using K-Means and Gaussian Mixture Models (GMM)

2025 IEEE International Conference on Imaging Systems and Techniques (IST)
The precise segmentation and classification of anatomical structures from three-dimensional (3D) scan data are critical for advancing personalized rehabilitation protocols, custom prosthetic fabrication, and the development of ergonomically optimized assistive technologies.
Yaser Sabzehmeidani   +1 more
openaire   +1 more source

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

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

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

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