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Per-class precision, recall, and F1-score for the bird_9 dataset.
Tianhao Wu (641064) +5 more
openalex +1 more source
Evaluating performance metrics in emotion lexicon distillation : a focus on F1 scores
Hinojosa Lee, Maria Cristina +2 more
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Maximum F1-Score Discriminative Training Criterion for Automatic Mispronunciation Detection
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015We carry out an in-depth investigation on a newly proposed Maximum F1-score Criterion (MFC) discriminative training objective function for Goodness of Pronunciation (GOP) based automatic mispronunciation detection that makes use of Gaussian Mixture Model-hidden Markov model (GMM-HMM) as acoustic models. The formulation of MFC seeks to directly optimize
Hao Huang +3 more
semanticscholar +2 more sources
F1 score assesment of gaussian mixture background subtraction algorithms using the MuHAVi dataset
6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15), 2015Background subtraction algorithms are mainly used to segment some specific moving objects in an image sequences. Within of the action recognition context, these methods may be proper to generate automatically silhouettes of the human actions. In this way, MuHAVi is a human action dataset which provides a small set of manually annotated silhouettes and ...
J. Sepulveda, S. VelastÃn
semanticscholar +2 more sources
Evaluating compressive sensing algorithms in through-the-wall radar via F1-score
International Journal of Signal and Imaging Systems Engineering, 2018Ali A. AlBeladi, A. Muqaibel
semanticscholar +2 more sources