Jungyun Eum
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View article: Acoustic Scene Classification Based on a Large-margin Factorized CNN
Acoustic Scene Classification Based on a Large-margin Factorized CNN Open
In this paper, we present an acoustic scene classification framework based on a large-margin factorized convolutional neural network (CNN). We adopt the factorized CNN to learn the patterns in the time-frequency domain by factorizing the 2…
View article: Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning
Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning Open
This paper considers a semi-supervised learning framework for weakly labeled polyphonic sound event detection problems for the DCASE 2019 challenge's task4 by combining both the tri-training and adversarial learning. The goal of the task4 …
View article: Acoustic Scene Classification Based on a Large-margin Factorized CNN
Acoustic Scene Classification Based on a Large-margin Factorized CNN Open
In this paper, we present an acoustic scene classification framework based on a large-margin factorized convolutional neural network (CNN). We adopt the factorized CNN to learn the patterns in the time-frequency domain by factorizing the 2…
View article: An End-to-End Text-independent Speaker Verification Framework with a Keyword Adversarial Network
An End-to-End Text-independent Speaker Verification Framework with a Keyword Adversarial Network Open
This paper presents an end-to-end text-independent speaker verification framework by jointly considering the speaker embedding (SE) network and automatic speech recognition (ASR) network. The SE network learns to output an embedding vector…
View article: Weakly Labeled Sound Event Detection using Tri-training and Adversarial Learning
Weakly Labeled Sound Event Detection using Tri-training and Adversarial Learning Open
This paper considers a semi-supervised learning framework for weakly labeled polyphonic sound event detection problems for the DCASE 2019 challenge's task4 by combining both the tri-training and adversarial learning. The goal of the task4 …