Acustic events classifictaion using CNN on UrbanSound8K dataset
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Updated
Jul 16, 2022 - Jupyter Notebook
Acustic events classifictaion using CNN on UrbanSound8K dataset
This method uses unsupervised and soft self-supervision for auditory Martian terrain classification , based on data from the Perseverance Rover. Next Up, we plan to make this system completely self-supervised with martian terrain images
This project aims to build a deep learning model for counting the number of Capuchinbird calls within a given audio clips. Here audio spectrograms and split-window approach is used to count the bird calls in the the audio.
A Speaker Classification Project which uses a binary classification method.
Chinese Phonetic Dataset with Homophone Clustering
Web app that allows to upload audio files to recognize it as Blue whale A-call or not
This project is an implementation of audio classification using Mel-Frequency Cepstral Coefficients (MFCC) and Neural Networks
A summary of python tasks made for my thesis project @ AAU
A python machine learning project to identify multiple music instruments from audio using tensorflow and django.
Deep learning model for acoustic detection and classification of Bowhead whales. This repo contains code for the binary classification model, two classes are: Bowhead whales (BH), Other/background.
3rd grade HSE Course paper about detecting humor in the short videos using ML/DL models
An transformer based audio classification system fine-tuned on distilBERT with Tesla T4 GPU
Explore advanced audio classification with SimCLR-UrbanSound8K. This repository applies SimCLR for urban sound categorization using the UrbanSound8K dataset, demonstrating state-of-the-art techniques in deep learning and audio analysis
Codebase and scripts from our IEEE ICCIT 2023 paper.
Project to classify wav audio files using a CNN.
Created as part of Audio and Music processing lab assignment. Extracts and analyses features from an audio collection, and creates playlists based on various descriptors. Can create playlists based on music similarity too.
The repository contains software and a neural network model specifically developed for the MineGuard project
Democratizing Artificial Intelligence
Build a machine learning pipeline that takes as an input an audio segment and predicts whether the audio segment has been recorded indoors or outdoors.
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