Papers Sound Classification
“Sound Classification” 태그가 달린 논문 148편 · 필터 해제
Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block
Recently, massive architectures based on Convolutional Neural Network (CNN) and self-attention mechanisms have become necessary for audio classification. While these techniques are state-of-the-art, these works' effectiv…
Audio ClassificationClassificationData AugmentationEnvironmental Sound Classification+3Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning
Methods based on supervised learning using annotations in an end-to-end fashion have been the state-of-the-art for classification problems. However, they may be limited in their generalization capability, especially in t…
Audio ClassificationClassificationContrastive LearningRepresentation Learning+1Enemy Spotted: in-game gun sound dataset for gunshot classification and localization
Recently, deep learning-based methods have drawn huge attention due to their simple yet high performance without domain knowledge in sound classification and localization tasks. However, a lack of gun sounds in existing …
ClassificationSound ClassificationA Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification
Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with such contagious diseases, many research te…
Cough ClassificationDiagnosticSound ClassificationSPRSound: Open-Source SJTU Paediatric Respiratory Sound Database
It has proved that the auscultation of respiratory sound has advantage in early respiratory diagnosis. Various methods have been raised to perform automatic respiratory sound analysis to reduce subjective diagnosis and p…
ClassificationSound ClassificationClassify Respiratory Abnormality in Lung Sounds Using STFT and a Fine-Tuned ResNet18 Network
Recognizing patterns in lung sounds is crucial to detecting and monitoring respiratory diseases. Current techniques for analyzing respiratory sounds demand domain experts and are subject to interpretation. Hence an accur…
Sound ClassificationImproved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers
Standard machine learning models for tagging and classifying acoustic signals cannot handle classes that were not seen during training. Zero-Shot (ZS) learning overcomes this restriction by predicting classes based on ad…
Audio TaggingClassificationEnvironmental Sound ClassificationSound ClassificationEnemy Spotted: in-game gun sound dataset for gunshot classification and localization
Recently, deep learning-based methods have drawn huge attention due to their simple yet high performance without domain knowledge in sound classification and localization tasks. However, a lack of gun sounds in existing …
ClassificationSound ClassificationTime-Frequency Distributions of Heart Sound Signals: A Comparative Study using Convolutional Neural Networks
Time-Frequency Distributions (TFDs) support the heart sound characterisation and classification in early cardiac screening. However, despite the frequent use of TFDs in signal analysis, no study comprehensively compared …
ClassificationSound ClassificationHouseX: A Fine-grained House Music Dataset and its Potential in the Music Industry
Machine sound classification has been one of the fundamental tasks of music technology. A major branch of sound classification is the classification of music genres. However, though covering most genres of music, existin…
ClassificationSound ClassificationContinual Learning For On-Device Environmental Sound Classification
Continuously learning new classes without catastrophic forgetting is a challenging problem for on-device environmental sound classification given the restrictions on computation resources (e.g., model size, running memor…
ClassificationComputational EfficiencyContinual LearningEnvironmental Sound Classification+1A ResNet attention model for classifying mosquitoes from wing‑beating sounds
Mosquitoes are vectors of numerous deadly diseases, and mosquito classification task is vital for their control programs. To ease manual labor and time-consuming classification tasks, numerous image-based machine-learnin…
ClassificationData AugmentationSound ClassificationEnd-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network
While efficient architectures and a plethora of augmentations for end-to-end image classification tasks have been suggested and heavily investigated, state-of-the-art techniques for audio classifications still rely on nu…
Audio ClassificationClassificationEnvironmental Sound Classificationimage-classification+3Deep CardioSound-An Ensembled Deep Learning Model for Heart Sound MultiLabelling
Heart sound diagnosis and classification play an essential role in detecting cardiovascular disorders, especially when the remote diagnosis becomes standard clinical practice. Most of the current work is designed for sin…
Sound ClassificationSpecificityExample-based Explanations with Adversarial Attacks for Respiratory Sound Analysis
Respiratory sound classification is an important tool for remote screening of respiratory-related diseases such as pneumonia, asthma, and COVID-19. To facilitate the interpretability of classification results, especially…
Sound ClassificationAUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath
This study presents the Auditory Cortex ResNet (AUCO ResNet), it is a biologically inspired deep neural network especially designed for sound classification and more specifically for Covid-19 recognition from audio track…
8kAudio ClassificationCOVID-19 DiagnosisData Augmentation+4Dynamic Backdoors with Global Average Pooling
Outsourced training and machine learning as a service have resulted in novel attack vectors like backdoor attacks. Such attacks embed a secret functionality in a neural network activated when the trigger is added to its …
Classificationimage-classificationImage ClassificationSentiment Analysis+1HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Audio classification is an important task of mapping audio samples into their corresponding labels. Recently, the transformer model with self-attention mechanisms has been adopted in this field. However, existing audio t…
Audio ClassificationEvent DetectionGPUKeyword Spotting+2ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention
Automatic identification of adventitious respiratory sound has still been a challenging problem in recent years. To address this challenge, we propose an adventitious respiratory sound classification network (ARSC-Net), …
Audio ClassificationClassificationSound ClassificationAutomatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
The issue in respiratory sound classification has attained good attention from the clinical scientists and medical researcher's group in the last year to diagnosing COVID-19 disease. To date, various models of Artificial…
Sound Classification