Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
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Updated
Apr 25, 2021 - Jupyter Notebook
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
A neural network framework for researchers studying acoustic communication
Convmelspec: Convertible Melspectrograms via 1D Convolutions
Deep learning using CNN for Mandarin Chinese tone classification
Easier audio-based machine learning with TensorFlow.
NTU RGB+D Dataset Action Recognition with GNNs and CNNs
Music timbre transfer
LOFAR System Health Management
Analysis of human behavioral and neural variability during naturalistic arm movements. Replicates the findings in our preprint: https://www.biorxiv.org/content/10.1101/2020.04.17.047357v2
Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.
Find gravitational wave signals from binary black hole collisions.
The code implements the Deep CNN model described in Salamon and Bello's paper for Environmental Sound Classification on Urbansound8k dataset
TinyML project. This system monitors your room or surrounding with an onboard microphone of Arduino nano BLE sense. Still Under Developement
Repository for COVID-19 screening project. Involves audio processing and some CV.
Converts Audio Files to spectrograms
NoiseCapture 2 Multi Platform
Transforms images into audio
Classifying Radio signal coming from space
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
Different Signal Processing Tasks
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