EmoTune AI - Emotionally Expressive Music Generator

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EmoTune AI is a deep learning project that generates emotionally expressive music based on user-specified emotions. By combining Transformer architectures and Generative Adversarial Networks (GANs), the system is capable of producing realistic, human-like melodies tailored to moods such as happy, sad, angry, relaxed, and more.

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🚀 Features

• 🎶 Emotion-Based Music Generation: Input a target emotion and generate music reflecting that mood.
• 🤖 Transformer + GAN Hybrid Architecture: Leverages the sequence modeling power of Transformers with the creative synthesis of GANs.
• 🧠 Human-Like Melodies: Produces high-quality, expressive compositions in MIDI or audio format.
• 🎛️ User Control Panel: Easily customize emotion intensity, tempo, genre influences, and more.
• 📊 Training on Emotion-Tagged Datasets: Utilizes publicly available emotion-labeled music datasets for training and evaluation.

🧠 Model Architecture

• Emotion Encoder: A Transformer-based module that encodes the emotion input into a latent representation.
• GAN Generator: Takes emotion vectors and random noise to generate expressive musical sequences.
• Discriminator: Evaluates whether the music is realistic and aligned with the given emotion.

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📦 Installation

git clone https://github.com/your-username/EmoTune-AI.git
cd EmoTune-AI
pip install -r requirements.txt

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🛠️ Usage

from models import generate_melody

emotion = "joyful"
melody = generate_melody(emotion=emotion, tempo=120)
save_to_midi(melody, filename="joyful_tune.mid")

Or via Web Interface (Streamlit):

streamlit run app/ui_interface.py

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📊 Dataset

We use emotion-labeled MIDI datasets such as:

• EMOPIA: A Multi-Genre Dataset for Emotion-Controlled Piano Music Generation 📎 https://github.com/ylab-hi/EMOPIA

• Music Emotion Recognition Dataset (MER) 📎 https://zenodo.org/record/4414721

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🧪 Evaluation

• Emotion classification accuracy of generated samples
• Music quality metrics (tonal stability, pitch range, rhythm variance)
• Human evaluation via listening sessions

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🔍 Future Enhancements

• Support for multi-instrument generation
• Real-time generation with emotion sliders
• Integration of lyrics for deeper emotional context
• Cloud-based API and mobile app deployment

🎧 EmoTune AI – Where Deep Learning Meets Emotion in Music ✨ Powered by Vipin