Acoustic scene classification: a comprehensive survey
Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …
applications. Various audio signal processing and machine learning methods have been …
Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts
L Pham, D Ngo, D Salovic, A Jalali, A Schindler… - Applied Acoustics, 2023 - Elsevier
In this paper, we propose lightweight deep neural networks for Acoustic Scene Classification
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …
Acoustic scene classification using deep fisher network
Abstract Acoustic Scene Classification (ASC) is the task of assigning a semantic label to an
audio recording, based on the surrounding environment. In this work, a Fisher network is …
audio recording, based on the surrounding environment. In this work, a Fisher network is …
Randmasking augment: A simple and randomized data augmentation for acoustic scene classification
J Han, M Matuszewski, O Sikorski… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
In this work, we describe RandMasking Augment as an effective data augmentation method
for acoustic scene classification research. We concentrate on both time and frequency …
for acoustic scene classification research. We concentrate on both time and frequency …
Robust, general, and low complexity acoustic scene classification systems and an effective visualization for presenting a sound scene context
In this paper, we present a comprehensive analysis of Acoustic Scene Classification (ASC),
the task of identifying the scene of an audio recording from its acoustic signature. In …
the task of identifying the scene of an audio recording from its acoustic signature. In …
Hierarchical classification for acoustic scenes using deep learning
B Ding, T Zhang, G Liu, C Wang - Applied Acoustics, 2023 - Elsevier
Abstract Acoustic Scene Classification (ASC) aims to obtain the sound environment by
analyzing audio signals. Due to the low complexity and acquisition cost of audio signals …
analyzing audio signals. Due to the low complexity and acquisition cost of audio signals …
Improving Domain Generalization for Sound Classification with Sparse Frequency-Regularized Transformer
Sound classification models' performance suffers from generalizing on out-of-distribution
(OOD) data. Numerous methods have been proposed to help the model generalize …
(OOD) data. Numerous methods have been proposed to help the model generalize …
[PDF][PDF] A Device Classification-Aided Multi-Task Framework for Low-Complexity Acoustic Scene Classification.
In this paper, we investigate the use of a multi-task learning framework to address the
DCASE 2022 Task 1 on Low-complexity Acoustic Scene Classification (ASC). Specifically …
DCASE 2022 Task 1 on Low-complexity Acoustic Scene Classification (ASC). Specifically …
[PDF][PDF] Comparative study of data augmentation methods for fake audio detection
KY Park, IY Kwakm - The Korean Journal of APPlied Statistics, 2023 - ikwak2.github.io
The data augmentation technique is effectively used to solve the problem of overfitting the
model by allowing the training dataset to be viewed from various perspectives. In addition to …
model by allowing the training dataset to be viewed from various perspectives. In addition to …
음성위조탐지에있어서데이터증강기법의성능에관한비교연구
박관열， 곽일엽 - 응용통계연구, 2023 - dbpia.co.kr
데이터 증강 기법은 학습용 데이터셋을 다양한 관점에서 볼 수 있게 해주어 모형의 과적합
문제를 해결하는데 효과적으로 사용되고 있다. 이미지 데이터 증강기법으로 회전, 잘라내기 …
문제를 해결하는데 효과적으로 사용되고 있다. 이미지 데이터 증강기법으로 회전, 잘라내기 …