A text-to-speech program using VAE on Mel spectrograms of phonemes.

This repository is to introduce the application of Activation Maximization for audio-domain data.

Music Genre Classification

Open Source Repository for the MASA Project

Simple neural net to classify the emotion in an audio

Different Signal Processing Tasks

MAIC VOICE AI 대회. 음성 멜-스펙트럼 데이터를 이용한 음성 질환 진단 및 분류.

Created an ASR (Automatic Speech Recognition) system that takes in individual recordings. Each recording represents a sentence composed of 5-10 English language digits, separated by adequate pauses. The system involves segmenting the sentence using a classifier, differentiating between background and foreground sounds.

2021-1 뇌인지공학 Term Project [👀🤜ing~ 06/24]

Introduction to Digital Signal Processing for Machine Learning

Embed chiptunes in 2D with Convolutional Auto Encoder and Mel Spectrograms

Speech emotion recognition models for the Moody web application.

This project was for the pattern recognition course I studied in college. This was the beginning of dealing with neural networks and 2 CNN models were made, 1-d model and 2-d model to deal with different forms of the data, audio and image, respectively.

Step onto the stage with Saxophone Hero, where your tenor saxophone is the key to unlocking a rhythmic adventure through a world of sheet music. In this game, your character scores points by hitting the right notes. Powered by machine learning, the game captures the pitch from your saxophone and translates it to player movement in real time.

Leveraged Dynamic Time Warping (DTW) to assess the similarity between specific audio tracks

Project to classify wav audio files using a CNN.

Acoustic Scene Classification System (DCASE2018 Task 1)

Overall process of speech signal processing (Mel-spectrogram & MFCCs) and loading data using Pytorch dataloader

This repository contains the code and methodology used for the BirdCLEF 2024 Kaggle competition, where I achieved a rank of 55th out of 974 participants, earning a bronze medal. The goal of this competition was to build a model that can accurately classify bird sounds.