A comprehensive survey of automated audio captioning
Automated audio captioning, a task that mimics human perception as well as innovatively
links audio processing and natural language processing, has overseen much progress over …
links audio processing and natural language processing, has overseen much progress over …
Specaugment++: A hidden space data augmentation method for acoustic scene classification
In this paper, we present SpecAugment++, a novel data augmentation method for deep
neural networks based acoustic scene classification (ASC). Different from other popular data …
neural networks based acoustic scene classification (ASC). Different from other popular data …
[PDF][PDF] CPJKU submission to dcase22: Distilling knowledge for lowcomplexity convolutional neural networks from a patchout audio transformer
In this technical report, we describe the CP-JKU team's submission for Task 1 Low-
Complexity Acoustic Scene Classification of the DCASE 22 challenge [1]. We use …
Complexity Acoustic Scene Classification of the DCASE 22 challenge [1]. We use …
[PDF][PDF] Cpjku submission to dcase21: Cross-device audio scene classification with wide sparse frequency-damped CNNs
We describe the CP-JKU team's submission for Task 1A Low-Complexity Acoustic Scene
Classification with Multiple Devices [1] of the DCASE2021 Challenge. We use Receptive …
Classification with Multiple Devices [1] of the DCASE2021 Challenge. We use Receptive …
Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts
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 …
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 …
Wider or deeper neural network architecture for acoustic scene classification with mismatched recording devices
In this paper, we present a robust and low complexity model for Acoustic Scene
Classification (ASC), the task of identifying the scene of an audio recording. We firstly …
Classification (ASC), the task of identifying the scene of an audio recording. We firstly …
A variational Bayesian approach to learning latent variables for acoustic knowledge transfer
We propose a variational Bayesian (VB) approach to learning distributions of latent
variables in deep neural network (DNN) models for cross-domain knowledge transfer, to …
variables in deep neural network (DNN) models for cross-domain knowledge transfer, to …
On-line audio-to-lyrics alignment based on a reference performance
Audio-to-lyrics alignment has become an increasingly active research task in MIR,
supported by the emergence of several open-source datasets of audio recordings with word …
supported by the emergence of several open-source datasets of audio recordings with word …