Generative AI Music Creation & Voice-Over

🎵 Generative AI Music Creation & Voice-Over

🧠 Course Overview:

This course teaches how to use generative AI to compose original music, create soundscapes, synthesize vocals, and produce high-quality voice-overs for videos, games, and media. You'll learn tools, workflow design, and how to fine-tune AI models for emotion, tone, and language.

🕒 Duration:

8 weeks (can be adapted for 4-week intensive or 12-week deep program)

🎯 Learning Outcomes:

By the end of the course, learners will be able to:

• Compose music using AI-powered tools and models

• Generate vocals and harmonies from text or MIDI inputs

• Create professional-grade voice-overs in multiple accents and tones

• Apply AI sound design to games, film, and marketing content

• Mix, master, and refine AI-generated audio

• Build an AI-assisted production workflow

🧩 Module 1: Introduction to Generative AI in Music

• History of AI-generated music

• Overview of key AI models (Jukebox, Riffusion, Suno, MuseNet, Mubert, OpenAI Audio Tools)

• Understanding prompt-based and data-driven generation

• Ethics and copyright in AI music

🧰 Practical: Explore and experiment with free AI music generators

🧩 Module 2: Fundamentals of Music Theory & Digital Audio

• Basics of scales, chords, rhythm, and harmony

• Introduction to Digital Audio Workstations (Ableton, FL Studio, Logic, LMMS)

• Understanding BPM, MIDI, VST, and sound layering

🧰 Practical: Create a simple track using AI-generated stems

🧩 Module 3: AI Tools for Music Composition

• Text-to-music generation

• Fine-tuning AI for specific genres (LoFi, EDM, Classical, Cinematic)

• Combining AI instruments and human touch

• Leveraging AI plugins in DAW

🧰 Practical: Generate a genre-specific song using AI prompts

🧩 Module 4: AI in Voice Synthesis and Cloning

• Understanding TTS (Text-to-Speech) and voice synthesis models

• Emotional tone and speech control

• Ethical voice cloning and consent frameworks

🧰 Practical: Generate a custom AI voice from text input

🧩 Module 5: Voice-Over Production Workflow

• Script writing for voice-overs

• Using AI for speech pacing and intonation

• Editing, noise reduction, and mastering

• Multilingual voice-over generation

🧰 Practical: Create a 1-minute commercial voice-over in two accents

🧩 Module 6: AI Music and Voice Integration

• Syncing AI music with AI voice for videos

• Adaptive background scoring for games and animation

• Using AI to match emotional tone between narration and music

🧰 Practical: Produce a short video clip with AI music and AI voice

🧩 Module 7: Mastering, Copyright & Publishing

• AI mastering tools (LANDR, iZotope Ozone, MasteringBox)

• Audio branding and sound signature creation

• Understanding copyright, licensing, and royalty for AI music

• Uploading to streaming platforms

🧰 Practical: Master an AI song and prepare for Spotify/YouTube release

🧩 Module 8: Final Project

• Students build a 2–3 minute AI-generated soundtrack or ad with AI voice-over

• Presentation and feedback session

• Showcase of top projects on social platforms or class album

🛠️ Tools & Software Covered:

• AI Music: Suno, Mubert, Soundful, MuseNet, Jukebox, Riffusion

• Voice Generation: ElevenLabs, Play.ht, Resemble.ai, Coqui.ai

• DAW & Editing: Ableton, FL Studio, Audacity, Reaper

• Mastering & Mixing: iZotope Ozone, Auphonic, LANDR

• Video Sync (Optional): Adobe Premiere, DaVinci Resolve

🎓 Certification:

Students receive a "Certified AI Music & Voice-Over Creator" certificate upon completion, plus a personalized project portfolio.

💡 Bonus Add-ons (Optional):

• Guest sessions by AI music composers & voice artists

• Live hackathon: "Create a song in 2 hours with AI"

• Mentorship on commercializing AI compositions