spectrograms

Easier audio-based machine learning with TensorFlow.

Convmelspec: Convertible Melspectrograms via 1D Convolutions

a neural network toolbox for animal vocalizations and bioacoustics

Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.

Deep learning using CNN for Mandarin Chinese tone classification

Find gravitational wave signals from binary black hole collisions.

Music timbre transfer

NTU RGB+D Dataset Action Recognition with GNNs and CNNs

Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.

Classifying Radio signal coming from space

TinyML project. This system monitors your room or surrounding with an onboard microphone of Arduino nano BLE sense. Still Under Developement

LOFAR System Health Management

Implementation in Python of a tool to automatically classify speech segments according to intonation system of Cuba.

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

The code implements the Deep CNN model described in Salamon and Bello's paper for Environmental Sound Classification on Urbansound8k dataset

Repository for COVID-19 screening project. Involves audio processing and some CV.

Converts Audio Files to spectrograms