Suno AI Music Generator can turn YOUR VOICE into a SONG
TLDRThe video explores the Suno AI Music Generator, a tool that turns your voice recordings into full songs by adding effects like autotune and generating musical arrangements. The creator records three different vocal samples, including 'Twinkle Twinkle Little Star,' and uses Suno AI to generate various musical styles like country, jazz, and electronic. While the AI produces mixed results—some impressive and others less successful—it demonstrates how AI can creatively manipulate even imperfect vocals. The creator reflects on the potential of future AI versions, suggesting features like downloading individual stems for further production.
Takeaways
- 🎤 Suno AI music generator can turn your voice into a song, transforming raw vocals into full tracks.
- 🎛️ The user recorded three different vocals, ranging from spoken phrases to singing 'Twinkle Twinkle Little Star' and a jazzy scat.
- 🎶 Suno AI adds autotune to vocals, even for non-professional singers, creating a more polished sound.
- 🤖 The AI generates two iterations of each input, experimenting with different genres like country, jazz, and electronic music.
- 🎧 Some outputs are surprisingly good, although heavily autotuned, making the vocals sound processed but cohesive.
- 📝 One interesting outcome was the AI modulating the voice and creating a piano melody from the input, even without using the original vocals.
- ⚙️ The AI sometimes fails, creating odd results or not extending the input properly, but the unpredictability makes the process intriguing.
- 💡 The user suggests clearer enunciation would yield better results, as the AI occasionally treats unclear phrases as gibberish.
- 🎹 The possibility of downloading individual 'stems' (vocals, guitar, drums, etc.) from AI-generated tracks could revolutionize music production.
- 🎲 Using AI for music creation feels like rolling the dice, with varied results, but the technology shows significant potential for future development.
Q & A
What is the Suno AI Music Generator capable of?
-The Suno AI Music Generator can turn a user's voice into an entire song by manipulating, modulating, and applying effects like autotune.
What recording software did the speaker use to record vocals?
-The speaker used Ableton to record three different vocal samples.
What vocal types did the speaker choose to record?
-The speaker recorded three types: a random vocal line, 'Twinkle Twinkle Little Star,' and a jazzy scatting line.
How does the Suno AI process and modify the vocals?
-The AI adds effects such as autotune, modifies the melody, and sometimes transforms the vocal sample into a completely different arrangement, like creating a piano melody based on the vocal input.
What musical genres did the speaker choose for their three vocal samples?
-The speaker chose country for the first sample, funky jazz for the second (Twinkle Twinkle Little Star), and electronic for the third jazzy scat vocal.
What issue did the speaker encounter with the AI when processing their vocals?
-The AI sometimes glitched, refunded credits, or produced unexpected results like missing vocals or creating instrumental tracks instead of incorporating the vocals.
What was the speaker’s feedback on the vocal output after the AI processing?
-The speaker found the results surprising and impressive, especially given their poor singing skills, but noted the heavy use of autotune and some randomness in the AI’s output.
What suggestion did the speaker have for improving Suno AI’s functionality?
-The speaker suggested that the AI could allow users to download individual stems (e.g., vocals, guitar, drums) from the generated tracks for more control over the final product.
What does the speaker think about the unpredictability of AI-generated music?
-The speaker found the unpredictability intriguing but noted that sometimes the AI-generated results didn't align with their expectations, particularly when the AI altered or ignored vocal samples.
Would the speaker release any of the songs generated by Suno AI?
-The speaker wouldn't release any of the generated songs as they are due to the AI's mixing and mastering limitations, but they might consider using individual stems if that functionality were available.
Outlines
🎤 Recording and Setting Up Vocals in Ableton
The narrator introduces the Sunno AI music generator, which turns voice recordings into entire songs. They record three random vocal samples in Ableton, emphasizing that their singing isn't great but thinks that makes the experiment more interesting. They explain the requirements (vocals must be between 6-60 seconds long) and go through recording three different styles: one spoken, one a rendition of 'Twinkle Twinkle Little Star,' and a final scatting/jazzy style. The vocals are then prepared for Sunno, with the narrator selecting different musical genres for each vocal track to see how the AI will transform them.
🤖 Sunno AI: Initial Impressions and Processing Results
The narrator uploads their vocals to Sunno AI and waits for it to process them into full songs. They discuss how Sunno creates two iterations of each track, providing an overview of the AI’s approach. The first track is processed with heavy autotune, surprising the narrator with how well the AI transformed gibberish into something musical. They express mixed reactions to the AI’s choices, noting the strange, gibberish-like results for some parts but being impressed by the overall transformation of their imperfect vocals.
🎶 Processing Twinkle Twinkle and Other Tracks
The second track, based on 'Twinkle Twinkle Little Star,' begins to play, and the narrator comments on its unexpected results. They note the off-key nature of the output but find the autotuned sections impressive. They express curiosity about future Sunno versions, hoping for more control over the process, such as downloading individual stems of the tracks (e.g., just the vocals or instruments). The narrator begins to understand the AI's strengths and weaknesses, particularly in how it handles and modulates voice samples.
🎷 Adjusting Vocal Clarity for Better AI Processing
The narrator reflects on the AI's challenges in understanding unclear vocals. They realize that their lack of enunciation may have confused the AI, leading to gibberish outputs. The narrator plans to enunciate more clearly in future recordings to help the AI process the voice samples better. They discuss the technical aspects of singing for AI processing and how certain production techniques can influence the results.
🎧 AI Limitations and Creative Modulations
The narrator analyzes how Sunno AI sometimes creates new elements from their samples, such as turning vocal lines into piano melodies. They find this ability to reinterpret the original voice sample into something entirely different both fascinating and frustrating. This unpredictability showcases the creative potential of Sunno but also highlights its limitations, as the AI occasionally produces unexpected or unwanted results, forcing the narrator to reattempt the process several times.
🎹 Reflections on AI Music Generation and the Future
Reflecting on the entire experience, the narrator expresses a mix of surprise and frustration. They are impressed with the AI’s ability to generate songs based on vocal input but are disappointed that it sometimes strays too far from their expectations, such as creating a piano ballad instead of an electronic song. They express interest in seeing Sunno evolve, especially if future updates allow users to download individual stems for more creative control. The narrator concludes that while the AI's capabilities are impressive, they see room for improvement, particularly in the ability to better match genre expectations and offer customizable stems.
Mindmap
Keywords
💡Suno AI Music Generator
💡Autotune
💡Ableton
💡Vocals
💡Extend
💡Genres
💡Iteration
💡Scatting
💡Credits Refunded
💡Stems
Highlights
Suno AI music generator can transform your voice into an entire song.
Three different vocal samples are recorded, ranging from 6 to 60 seconds.
The process includes autotuning and extending the vocals into various genres like country, funky jazz, and electronic.
The AI adds heavy autotune, turning the voice into a polished song, although the result sometimes includes gibberish.
Twinkle Twinkle Little Star is transformed into a funky jazz style, showcasing the versatility of Suno AI.
The AI manipulates the vocals and produces a song by using different prompts and genres.
Results vary, with some generated music containing unexpected errors like gibberish or incorrect genre application.
In certain instances, the AI glitches and credits get refunded due to technical errors.
AI-generated songs sometimes modulate voice into different melodies, creating unexpected yet interesting results.
The AI transforms non-singing voices, adding autotune to make them sound like real songs.
The Suno AI’s output can sometimes ignore the vocal sample entirely and generate instrumental melodies.
The AI algorithm sometimes processes the voice sample as an idea for new compositions rather than directly using the sample.
Twinkle Twinkle Little Star was turned into a classical piano melody instead of the intended electronic track.
Suno AI’s handling of voice modulation is unpredictable, offering both creative surprises and technical shortcomings.
The potential for stem separation is suggested, which would allow users to download individual instrument or vocal tracks.
