A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer

Author:

Hu Hu1,Siniscalchi Sabato Marco1,Yang Chao-Han Huck1,Lee Chin-Hui1

Affiliation:

1. Georgia Institute of Technology,School of Electrical and Computer Engineering,GA,USA

Publisher

IEEE

Reference45 articles.

1. Variational Information Distillation for Knowledge Transfer

2. Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

3. Device-robust acoustic scene classification based on two-stage categorization and data augmentation;hu,2020

4. Acoustic scene classification in dcase 2020 challenge: generalization across devices and low complexity solutions;heittola,2020

5. Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Toward Real-World Voice Disorder Classification;IEEE Transactions on Biomedical Engineering;2023-10

2. Missing Data Completion of Multi-channel Signals Using Autoencoder for Acoustic Scene Classification;APSIPA Transactions on Signal and Information Processing;2023

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