JOURNAL ARTICLE

Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification

Shayan GharibKonstantinos DrossosEmre ÇakırDmitriy SerdyukTuomas Virtanen

Year: 2018 Journal:   OPAL (Open@LaTrobe) (La Trobe University)   Publisher: La Trobe University

Abstract

The two .zip files contain the pre-trained weights, features, and labels for the AUDASC. \n\nIn order to use them, you need the code of AUDASC (available from here). The code of AUDASC is based on PyTorch framework. \n\nFor easy and efficient reproducibility, we include our extracted features and labels (one-hot encoded) from the development dataset of the DCASE 2018 Task 1, subtask B. The license specified by the DCASE 2018 Task1, subtask B, for the data is applied here to the extracted features and labels as well.

Keywords:
Domain adaptation Computer science Adaptation (eye) Artificial intelligence Adversarial system Domain (mathematical analysis) Speech recognition Pattern recognition (psychology) Communication Psychology Mathematics Classifier (UML)

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Topics

Music and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence

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