Environmental Sound Classification Edit Task
Audio • Audio Classification
About
Classification of Environmental Sounds. Most often sounds found in Urban environments. Task related to noise monitoring.
Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Datasets
Greatest papers with code
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
We show that the improved performance stems from the combination of a deep, high-capacity model and an augmented training set: this combination outperforms both the proposed CNN without augmentation and a "shallow" dictionary learning model with augmentation.
Ranked #1 on
Environmental Sound Classification
on UrbanSound8k
CLASSIFICATION DATA AUGMENTATION DICTIONARY LEARNING ENVIRONMENTAL SOUND CLASSIFICATION
Ubicoustics: Plug-and-Play Acoustic Activity Recognition
Despite sound being a rich source of information, computing devices with microphones do not leverage audio to glean useful insights about their physical and social context.
ACTIVITY RECOGNITION DATA AUGMENTATION ENVIRONMENTAL SOUND CLASSIFICATION SOUND EVENT DETECTION
Environmental Sound Classification on Microcontrollers using Convolutional Neural Networks
n/a 2019
• jonnor/ESC-CNN-microcontroller
• 
Noise monitoring using Wireless Sensor Networks are being applied in order to understand and help mitigate these noise problems.
Ranked #3 on
Environmental Sound Classification
on UrbanSound8k
Rethinking CNN Models for Audio Classification
• kamalesh0406/Audio-Classification
• 
Besides, we show that even though we use the pretrained model weights for initialization, there is variance in performance in various output runs of the same model.
CLASSIFICATION ENVIRONMENTAL SOUND CLASSIFICATION MUSIC INFORMATION RETRIEVAL TRANSFER LEARNING
Urban Sound Tagging using Convolutional Neural Networks
• sainathadapa/urban-sound-tagging
•
The proposed model uses log-scaled Mel-spectrogram as the representation format for the audio data.
CLASSIFICATION DATA AUGMENTATION ENVIRONMENTAL SOUND CLASSIFICATION IMAGE CLASSIFICATION
Utilizing Domain Knowledge in End-to-End Audio Processing
End-to-end neural network based approaches to audio modelling are generally outperformed by models trained on high-level data representations.
ESResNet: Environmental Sound Classification Based on Visual Domain Models
Environmental Sound Classification (ESC) is an active research area in the audio domain and has seen a lot of progress in the past years.
CRNNs for Urban Sound Tagging with spatiotemporal context
• multitel-ai/urban-sound-tagging
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This paper describes CRNNs we used to participate in Task 5 of the DCASE 2020 challenge.
Urban Sound Classification : striving towards a fair comparison
• multitel-ai/urban-sound-classification-and-comparison
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Sometimes authors copy-pasting the results of the original papers which is not helping reproducibility.
AUDIO TAGGING CLASSIFICATION ENVIRONMENTAL SOUND CLASSIFICATION
Masked Conditional Neural Networks for Environmental Sound Classification
We have evaluated the MCLNN performance using the Urbansound8k dataset of environmental sounds.