This is a machine learning/neural network model that can classify the type of sound (10 classes) using the Mel Scale and Spectrogram.

Group project to classify audio samples with Deep ML models for the Curricular Unit Machine Learning 2 on FCUP @ Porto, Portugal

"The sound of typing: using Machine Learning to classify Keyboard Acoustic Emanations" 2024 bachelor thesis source code.

Replication of the Paper Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification by Salomon & Bello

ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples

TensorFlow implementation of Microsoft's RespireNet, aiming to classify breathing/coughing sounds of people affected by COVID19 using the Coswara dataset.

There are a set of 200 target words were spoken in the carrier phrase "Say the word _' by two actresses (aged 26 and 64 years) and recordings were made of the set portraying each of seven emotions (anger, disgust, fear, happiness, pleasant surprise, sadness, and neutral). There are 2800 data points (audio files) in total. The dataset is organise…

My Digital Signal Processing homework.

陳祝嵩老師的"數位訊號處理導論"期末專題(DSP)

Sound Classification Using CNN

Classification of sound dataset

Kaggle competition on birdcall classification.

TIL was a team-based Machine Learning hackathon hosted during DSTA's BRAINHACK event on Computer Vision and Sound Classification.

Causal depthwise separable CNN with subspectral normalization for environmental sound classification.

CNN model for sound classification