… classification at the edge. Specifically, we design and train Transformers to classify office
sounds in audio … Results show that a BERTbased Transformer, trained on Mel spectrograms, …

… of a tiny Transformer on a resource-constrained edge device, … of environmental sound
classification in a noisy environment. … sounds dataset indicate improved performance of the tiny …

… -tiny-distilled is the ACDNet model [28] which is a convolutional neural network designed for
environmental sound classification on edge … audio transformer for sound classification and …

… the position embeddings, in order to address the sound classification problem at the edge. …
Environmental Sound Classification with Tiny Transformers in Noisy Edge Environments. In …

… Transformers (BERT) based models capable of performing sound classification at the edge.
… [12] employed a trained BERT-based tiny Transformer on a device with limited resources …

… [8] proposed the Tiny Transformer model for sound classification based on the Transformer
… model and the small number of parameters of the Transformer model, we proposed a CAR-…

… Environmental Sound Classification (ESC) to recognizing office sounds, which falls under a
type of proactive edge … perform here with small datasets and modest transformers can easily …

… are on par with the cutting edge when it comes to identifying … account all sound occurrences
as opposed to a small area. … of Audio Spectrogram Transformer and the audio elaboration …

… environmental sound classification using DL on resource-constrained IoT devices. Environmental
sound classification … Environmental sound classification with tiny transformers in noisy …

… small dataset provided by the competition contradicts the common understanding that
Transformer … and improvement of Transformer Architecture trained with Knowledge distillation? …