Composing Heavy Metal with Artificial Intelligence - GPT-2 Trained on Music - Demo
TLDRTristan demonstrates how he composes music with AI, showcasing his process of creating heavy metal music using a GPT-2 model trained on thousands of songs. In 2021, he released three albums with AI-generated notes, and in 2022, he developed a web-based tool for composing, enhancing his workflow. The video illustrates the step-by-step creation of a heavy metal track, from drums to guitars, bass, and even piano, all generated and curated by AI, highlighting the efficiency and creativity AI brings to music composition.
Takeaways
- 🎼 The presenter, Tristan, has used artificial intelligence to compose heavy metal music, releasing three albums in 2021.
- 🤖 Tristan incorporated AI into his composing pipeline, allowing the AI to generate notes for 36 songs across three albums.
- 🎶 The AI, based on GPT-2, was trained on 7000 heavy metal songs, enabling it to predict harmonious musical bars that fit with existing composition.
- 🔧 In 2022, Tristan developed a new web-based tool using HTML5, JavaScript, and CSS to replace Jupyter notebooks for music composition.
- 🚀 The new web tool offers enhanced functionality and a more user-friendly interface for composing music with AI.
- 🥁 The demonstration starts with composing drums, suggesting the importance of rhythm in heavy metal music composition.
- 🎸 Tristan then adds guitar, bass, and even piano parts to the composition, showing the AI's versatility in different instruments.
- 🔄 The AI can adjust note density, affecting the complexity and rhythm of the music, allowing for dynamic composition.
- 👩💻 The process involves curating AI-generated ideas, keeping what works and replacing what doesn't, providing a collaborative approach to music creation.
- 📈 Tristan's use of AI has significantly reduced the time required to create a song structure, from one working day to half that time.
- 🌐 The video invites viewers to engage by suggesting genres for future compositions and encouraging feedback in the comments section.
Q & A
What is the main topic of the video?
-The main topic of the video is composing heavy metal music with artificial intelligence, specifically using a GPT-2 model trained on heavy metal music.
How many albums did the speaker release in 2021 using AI for music composition?
-The speaker released three albums in 2021 using AI for music composition.
What was the speaker's previous method for composing music with AI?
-The speaker previously used a tool based on Jupyter notebooks with widgets to compose music with AI.
What new development did the speaker work on for composing music in 2022?
-In 2022, the speaker developed a new web-based composer using HTML5, JavaScript, and CSS, which replaced the Jupyter notebook method.
What is the role of the deep neural network in the music composition process shown in the video?
-The deep neural network, which is GPT-2 trained on heavy metal songs, predicts and generates bars of music that fit harmoniously with the existing composition.
How does the speaker use the AI-generated music in their workflow?
-The speaker uses the AI-generated music as a starting point, curating the ideas by keeping what they like and replacing what they don't with other ideas generated by the AI.
What is the significance of 'note density' in the context of the video?
-Note density refers to the number of notes per bar in the music composition, affecting the complexity and rhythm of the piece.
How does the speaker incorporate different instruments into the composition?
-The speaker starts with a basic rhythm, such as drums, and then adds other instruments like guitar and bass, adjusting and recomposing as needed to create a cohesive piece.
What is the advantage of using AI for music composition as demonstrated in the video?
-The advantage is that AI can generate musical ideas quickly, allowing the composer to focus on curating and refining the AI's output rather than manually composing every note.
What is the speaker's process for turning the AI-generated music into a complete song?
-The speaker takes the AI-generated music, rearranges it, adds details, and structures it into a complete song with elements like verses, choruses, bridges, intro, and outro.
How does the speaker engage with the audience for future music composition sessions?
-The speaker encourages the audience to comment with their preferences for heavy metal music genres, and may create future sessions based on audience feedback to compose different styles of metal music.
Outlines
🎼 AI in Music Composition
The speaker, Tristan, discusses his experience using artificial intelligence to compose music, specifically in the heavy metal genre. He details his process of integrating AI into his music composition pipeline, using a deep learning network trained on heavy metal music. In 2021, he released three albums totaling 36 songs with AI assistance. He also shares his transition from using Jupyter notebooks to developing a web-based composer using HTML5, JavaScript, and CSS, which includes new functionalities. The speaker demonstrates the initial steps of composing a new project called 'Friday,' starting with drum sequences and adjusting note density to create a heavy metal rhythm.
🥁 Developing a Heavy Metal Composition
Tristan continues his discussion on music composition by adding guitar and bass to the drum sequence he created earlier. He uses the AI tool to generate musical ideas, which he then curates and refines. The speaker emphasizes the ability to visually inspect the music notation and listen to the AI-generated segments, allowing for an intuitive understanding of the composition. He adds a second guitar, adjusting the note density to create a different texture, and then introduces a piano accompaniment to enrich the music's texture further. The speaker showcases the flexibility of the AI tool in composing various instruments and adjusting the music's density and intensity.
🎹 Curating AI-Generated Music
The speaker illustrates the process of curating AI-generated music, using the example of adding and adjusting drums, guitar, and bass. Tristan emphasizes the AI's ability to consider the context of existing musical elements when generating new bars of music. He demonstrates how to refine the composition by adjusting the intensity and note density, as well as experimenting with different instruments like piano. The speaker also discusses the efficiency of using AI for music composition, stating that it has reduced the time required to develop a song structure. He invites viewers to share their preferences for heavy metal sub-genres for potential future compositions.
📢 Conclusion and Call to Action
In the final paragraph, Tristan concludes his demonstration of using AI for music composition and invites viewer engagement. He encourages viewers to like the video, subscribe to his channel, and share their ideas in the comments section. The speaker highlights the user interface of the AI tool trained on heavy metal music and expresses hope that the audience appreciates his presentation.
Mindmap
Keywords
💡Artificial Intelligence
💡Composing
💡Deep Neural Network
💡GPT-2
💡Heavy Metal Music
💡Note Density
💡Jupyter Notebooks
💡Web Technology
💡Drum Sequence
💡Music Interface
💡Piano Accompaniment
Highlights
Tristan demonstrates the use of AI in composing heavy metal music with GPT-2.
In 2021, Tristan released three albums composed with AI, totaling 36 songs.
The AI was integrated into Tristan's composing pipeline, providing notes for song generation.
The AI, trained on heavy metal music, is used for creating the next album in 2022.
Tristan discusses tool development and transitioning from Jupyter notebooks to web technology.
A new web-based composer is introduced, featuring HTML5, JavaScript, and CSS.
The composer allows for the creation of new music projects with various settings like genre and note density.
Starting the composition with drums is suggested as a common practice in heavy metal.
The AI-generated drum sequence is played, inspiring further composition.
Tristan manipulates the drum sequence to create a rhythmic foundation for the song.
Guitar is added to the composition, with the AI providing riffs and chords.
The AI's ability to consider existing musical elements when generating new parts is highlighted.
A second guitar part is added, demonstrating the AI's versatility in note density.
The addition of a piano accompaniment shows the AI's capability to compose beyond traditional heavy metal instruments.
Tristan discusses the iterative process of composing, where the AI generates ideas that are curated by the composer.
The video concludes with Tristan reflecting on the efficiency gains from using AI in his music composition process.
Viewer engagement is encouraged through likes, subscriptions, and comments for genre preferences.