Convmelspec: Convertible Melspectrograms via 1D Convolutions

Easier audio-based machine learning with TensorFlow.

A neural network framework for researchers studying acoustic communication

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

Deep learning using CNN for Mandarin Chinese tone classification

NTU RGB+D Dataset Action Recognition with GNNs and CNNs

Find gravitational wave signals from binary black hole collisions.

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

Music timbre transfer

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

NoiseCapture 2 Multi Platform

A Python script that transforms images into audio

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

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

LOFAR System Health Management

Speaker Verification utilizing the Self-Supervised Audio Spectrogram Transformer

Build a Neural Network to identify and classify emotion Real-time Emotion Detection using the tone of their voice. Restrictive to English language (American accent)

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

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