Low-complexity acoustic scene classification for multi-device audio: Analysis of DCASE 2021 Challenge systems
This paper presents the details of Task 1A Acoustic Scene Classification in the DCASE 2021
Challenge. The task targeted development of low-complexity solutions with good …
Challenge. The task targeted development of low-complexity solutions with good …
Low-complexity acoustic scene classification in dcase 2022 challenge
This paper presents an analysis of the Low-Complexity Acoustic Scene Classification task in
DCASE 2022 Challenge. The task was a continuation from the previous years, but the low …
DCASE 2022 Challenge. The task was a continuation from the previous years, but the low …
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 …
RQNet: Residual quaternion CNN for performance enhancement in low complexity and device robust acoustic scene classification
Acoustic Scene Classification aims to recognize the unique acoustic characteristics of an
environment. Recently, Convolutional Neural Networks (CNNs) have boosted the accuracy …
environment. Recently, Convolutional Neural Networks (CNNs) have boosted the accuracy …
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 …
Squeeze-excitation convolutional recurrent neural networks for audio-visual scene classification
J Naranjo-Alcazar, S Perez-Castanos… - arXiv preprint arXiv …, 2021 - arxiv.org
The use of multiple and semantically correlated sources can provide complementary
information to each other that may not be evident when working with individual modalities on …
information to each other that may not be evident when working with individual modalities on …
AtResNet: Residual Atrous CNN with Multi-scale Feature Representation for Low Complexity Acoustic Scene Classification
Abstract Acoustic Scene Classification (ASC) aims to categorize real-world audio into one of
the predetermined classes that identifies the recording environment of the audio. State-of …
the predetermined classes that identifies the recording environment of the audio. State-of …
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms
In this technical report, a low-complexity deep learning system for acoustic scene
classification (ASC) is presented. The proposed system comprises two main phases:(Phase …
classification (ASC) is presented. The proposed system comprises two main phases:(Phase …
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification
Q Wang, J Du, S Zheng, Y Li, Y Wang… - … on Chinese Spoken …, 2022 - ieeexplore.ieee.org
In this paper, we propose two techniques, namely joint modeling and data augmentation, to
improve system performances for audio-visual scene classification (AVSC). We employ …
improve system performances for audio-visual scene classification (AVSC). We employ …
A Convolutional Model with Multi-Scale Feature Fusion, Duo Pooling, and Fusion Loss for Acoustic Scene Classification
Acoustic Scene Classification (ASC) aims to identify an environment specific to its unique
audio cues. Convolutional Neural Networks (CNN) have become the de-facto baseline in …
audio cues. Convolutional Neural Networks (CNN) have become the de-facto baseline in …