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Found 8 papers, 3 papers with code
MAX-AST: COMBINING CONVOLUTION, LOCAL AND GLOBAL SELF-ATTENTIONS FOR AUDIO EVENT CLASSIFICATION
In the domain of audio transformer architectures, prior research has extensively investigated isotropic architectures that capture the global context through full self-attention and hierarchical architectures that progressively transition from local to global context utilising hierarchical structures with convolutions or window-based attention.
Ranked #23 on
Audio Classification
on AudioSet
DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification
Convolutional neural networks (CNNs) and Transformer-based networks have recently enjoyed significant attention for various audio classification and tagging tasks following their wide adoption in the computer vision domain.
Ranked #15 on
Audio Classification
on AudioSet
CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice
We introduce a simple-to-follow recipe aligned to the SpeechBrain toolkit for accent classification based on Common Voice 7. 0 (English) and Common Voice 11. 0 (Italian, German, and Spanish).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Global Interaction Modelling in Vision Transformer via Super Tokens
Hence, most of the learning is independent of the image patches $(N)$ in the higher layers, and the class embedding is learned solely based on the Super tokens $(N/M^2)$ where $M^2$ is the window size.
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning
The third method adopts late fusion by having two convectional input branches processing each of the dual-channel spectrograms and then the outputs are merged by the last layers.
Intelligent Anomaly Mitigation in Cyber-Physical Inverter-based Systems
The distributed cooperative controllers for inverter-based systems rely on communication networks that make them vulnerable to cyber anomalies.
Improving Power Quality and Power Sharing in Unbalanced Multi-Microgrids Using Energy Storage System
The RPC and the PBR improve the three-phase PCC voltage and power unbalance of the MMG and the RPSA regulates the reactive power-sharing among the MMGs.
Energy Storage System (ESS) for Compensating Unbalanced Multi-microgrids Using Modified Reverse Droop Control
In this paper, a modified reverse droop control (MRDC) scheme in the Energy Storage System (ESS) is proposed to improve the three-phase PCC voltage quality in multi-microgrids (MMG).
