Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms-Reference-Cited by-同舟云学术

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Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Symposium on the Internet of Sounds
language:
Short-container-title:

Author:

Pham Lam¹,Nguyen Tin²,Lam Phat²,Ngo Dat³,Jalali Anahid¹,Schindler Alexander¹

Affiliation:

1. Austrian Institute of Technology (AIT),Austria

2. Ho Chi Minh City University of Technology,Vietnam

3. University of Essex,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10335168/10335097/10335258.pdf?arnumber=10335258

Reference25 articles.

1. SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification

2. Gammatone-like spectrogram;ellis,0

3. Learning from between-class examples for deep sound recognition;tokozume;ICLRE,2018

4. Mixup-Based Acoustic Scene Classification Using Multi-channel Convolutional Neural Network

5. librosa: Audio and Music Signal Analysis in Python

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