[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning

Building a Sound Classification iOS Application using AI

audio classification by pytorch.

Classification of Environmental Sound using Deep Learning.

Classification of Environment Sound using CNN and ImageDataGenerator

Audio Diffusion

A deep learning classifier for urban sounds using the EfficientNet network

Audio classification using Compact Convolutional Transformers on ESC-50 Dataset

This project builds a system to split spoken sentences into words (speaker-independent) and calculates the speaker's average pitch, comparing different methods to identify word boundaries.

This project was developed during the course Human Data Analytics at UNIPD

The aim of this project was to design and implement a Flask web application for classifying environmental sounds which uses convolutional neural network architecture.