Rimmadjan/diploma-folk-ai
Master’s thesis - Armenian Folk AI Composer (LSTM vs fine‑tuned Transformer)
Master's thesis project comparing LSTM and Transformer models for generating Armenian folk music in MIDI format. Includes dataset creation, model training, evaluation, and plans for a demo album. Currently in early development with incomplete dataset and models not yet trained.
A workshop repository for a TUMO 2024 event teaching Optical Music Recognition (OMR) and AI-based music generation, w...
A Spring Boot backend service for asynchronous music generation using Suno AI, focused on Western Armenian music. It ...
A full-stack Armenian speech recognition system with React frontend, Spring Boot backend, and Azure deployment. Inclu...
A small collection of Armenian folk tunes and songs encoded in ABC music notation, with accompanying scripts to gener...
A capstone project evaluating GPT-3.5-Turbo's performance on Armenian language tasks, including extractive QA, multip...
This repository implements a machine learning model to convert English phonetic spellings of Armenian words into Arme...