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A semi-supervised learning approach to online audio ...
https://ieeexplore.ieee.org/document/4959912/#:~:text=A%20semi-supervised%20learning%20approach%20to%20online%20audio%20background,context%20surrounding%20an%20agent%2C%20both%20human%20and%20machine.
A SEMI-SUPERVISED LEARNING APPROACH TO …
https://ict.usc.edu/pubs/A%20Semi-Supervised%20Learning%20Appproach%20to%20Online%20Audio%20Background%20Detection.pdf
a method for learning the initial background model using a semi-supervised learning approach. This information is then integrated into the online background determination process, providing us with a more complete background model. We show that we can utilize both labeled and unlabeled data to improve audio classification per-formance. By incorporating prediction …
A Semi-Supervised Learning Approach to Online Audio ...
https://sail.usc.edu/publications/files/chuicassp2009.pdf
method extends the online adaptive Gaussian Mixture model tech-nique to model variations in the background audio. We propose a method for learning the initial background model using a semi-supervised learning approach. This information is then integrated into the online background determination process, providing us with
A semi-supervised learning approach to online audio ...
https://ieeexplore.ieee.org/document/4959912/
Our method extends the online adaptive Gaussian Mixture model technique to model variations in the background audio. We propose a method for learning the initial background model using a semi-supervised learning approach. This information is then integrated into the online background determination process, providing us with a more …
(PDF) A semi-supervised learning approach to online …
https://www.researchgate.net/publication/220734232_A_semi-supervised_learning_approach_to_online_audio_background_detection
A semi-supervised learning approach to online audio background detection. ... We propose a method for learning the initial background model using a …
A semi-supervised learning approach to online audio ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004959912
Our method extends the online adaptive Gaussian Mixture model technique to model variations in the background audio. We propose a method for learning the initial background model using a semi-supervised learning approach. This information is then integrated into the online background determination process, providing us with a more complete ...
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