Machine Learning · NLP · Text Generation · January 2022

Lyric Generation

Bidirectional LSTM system for learning artist styles and generating original lyrics

Timeline

January 2022 May 2022

Key Technologies

PythonPyTorchLSTMsNLP+1 more

Project Overview

A natural language processing project that uses bidirectional LSTMs to learn an artist's style from their most popular work and reproduce a new set of lyrics for the user. This system analyzes patterns in creative writing and generates coherent, stylistically consistent text that mimics the learned artistic style.

Key Features.

  • Bidirectional LSTM architecture
  • Artist style learning
  • Creative text generation
  • Pattern recognition in lyrics

Technologies.

Python
PyTorch
LSTMs
NLP
Text Generation