The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.
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Nov 19, 2024 - Python
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urbansound8k
Here are 21 public repositories matching this topic...
A library built for easier audio self-supervised training, downstream tasks evaluation
pytorch audio-classification audioset nsynth speech-commands audio-datasets self-supervised-learning voxceleb1 urbansound8k pytorch-lightning audio-representation audio-self-supervised-learning audio-pretraining
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Aug 27, 2024 - Python
基于PaddlePaddle实现的音频分类，支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型，还有多种预处理方法
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Nov 19, 2024 - Python
Sound Classification using Librosa, ffmpeg, CNN, Keras, XGBOOST, Random Forest.
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Feb 1, 2024 - Jupyter Notebook
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
keras cross-validation pytorch librosa data-augmentation cnn-model environmental-sounds sound-classification urbansound8k spectrograms
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Apr 25, 2021 - Jupyter Notebook
UrbanSound8K dataset classification using MLP and CNN
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Nov 17, 2021 - Jupyter Notebook
Urban Sound Annotation and Classification
deep-learning feature-selection xgboost audio-classification active-learning audio-feature-extraction urbansound8k audio-labeling
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Dec 1, 2024 - Jupyter Notebook
In this repository you will find an end to end hands-on tutorial of an example of machine learning in production. The objective will be to create and deploy in the cloud a machine learning application able to recognize and classify different audio sounds.
docker flask data-science machine-learning tutorial deep-learning tensorflow keras colab convolutional-neural-networks data-exploration cnns urbansound8k urbansound8k-dataset
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Feb 8, 2021 - Jupyter Notebook
Car honk detector using Edge Impulse
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Mar 9, 2020 - Python
An Audio Classification Project Using ML & DL on Urbansound8K Dataset (Kaggle): Sound Classification using Librosa, MFCC, CNN, Keras, XGBOOST, Random Forest.
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May 25, 2022 - Jupyter Notebook
Urban Sound classification using Machine learning
deep-learning logistic-regression spectrogram decision-tree-classifier cnn-classification urbansound8k
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Aug 25, 2020 - Jupyter Notebook
A deep learning classifier for urban sounds using the EfficientNet network
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Jul 4, 2022 - Jupyter Notebook
Application of a convolutional neural network (CNN) to accurately classify urban sounds in a bid to increase pedestrian safety using the UrbanSound8k dataset.
python deep-learning jupyter-notebook convolutional-neural-networks urbansound8k mfcc-features pedestrian-safety
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Mar 18, 2023 - Jupyter Notebook
This project classifies urban noise using machine learning models such as DNN, CNN, LSTM, and Random Forest. Utilizing the UrbanSound8K dataset, it aims to accurately identify different urban sounds, aiding in noise monitoring and management. Key features include robust model comparison and real-time deployment potential.
machine-learning signal-processing machine-learning-algorithms cnn dnn lstm itu istanbul-technical-university urbansound8k urbansound8k-dataset
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Jun 15, 2024 - Jupyter Notebook
Audio classification, denoising & generation of new samples on UrbanSound8K dataset (UniPD)
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Jul 13, 2024 - Jupyter Notebook
Project to learn about Neural Networks, the goal as to explore and test architectures for CNN and RNN-LSTM to classify sounds in the urbansound8k dataset
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Dec 13, 2024 - Jupyter Notebook
Acustic events classifictaion using CNN on UrbanSound8K dataset
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Jul 16, 2022 - Jupyter Notebook
Urban Sounds Classification - Koç Holding Deep Learning Bootcamp by GlobalAIHub
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Oct 7, 2022 - Jupyter Notebook
Audio Classification with CNN
audio deep-learning hyperparameter-optimization spectrogram convolutional-neural-networks urbansound8k
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Oct 6, 2022 - Jupyter Notebook
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