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
Chinese Phonetic Dataset with Homophone Clustering
This project is an implementation of audio classification using Mel-Frequency Cepstral Coefficients (MFCC) and Neural Networks
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.
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.
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.
We will apply deep learning techniques for the classification of the free-spoken-digit-dataset, akin to an audio version of MNIST.
Simple ML Classification Task using SVN, KNN, MLP, RFC, Naive Bayes Classifier, Logistic Regression. A deep MLP is also used for the second classification task
This is a machine learning model that aims to implement a multi-class classifier that identifies instruments in music streams.
Audio Word Classification using Random Forest Classifier algorithm
Audio classification REST interface to detect whale calls from a trained Deep Learning model
Virtual Classroom supporting multi-modal (Live - Video, Audio and Text) Emotion Recognition and Analysis (HackX 2023)
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