12 Best Generative AI Music Creation Tools

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Consider scrolling through social media to find video after video of artificial intelligence-generated music. It's fascinating at first, but soon, you realize you have heard enough generic songs to last a lifetime. This is the world of generative AI music, an area so significant within text-to-speech that the two often go hand in hand. But, what is Text-to-Speech and its role in AI music?

As you read this guide, you will learn how it works and discover ways to generate your AI music to avoid the monotony of generic tunes. In no time, you'll have custom tracks that fit your exact specifications and sound way more interesting than those boring AI songs.

One of the best ways to create unique audio for your project is to use CoeFont's AI voice changer. This tool lets you generate an AI voice that can easily be customized to match your vision, so you don't have to settle for the average sounds of artificial intelligence.

What Is AI-Generated Music?

AI-generated music refers to creating musical content using artificial intelligence technologies. This emerging field leverages machine learning algorithms and deep learning networks that can analyze vast amounts of musical data, learn patterns, and create original compositions.

How Does AI Generate Music?

AI music generation uses computer systems programmed with AI algorithms to compose music without human intervention. These AI systems are usually trained on large datasets containing various musical pieces. The AI uses this input to learn about different patterns, chords, melodies, rhythms, and styles in the music. After training, these AI models can generate entirely new and original musical compositions or emulate specific styles based on their learning.

The Algorithms Behind AI Music Production

At the core of AI music generation are machine learning algorithms. Machine learning is a subtype of AI that allows machines to learn from data and improve over time. About music, these algorithms can identify patterns and characteristics in a wide range of compositions. Some commonly used algorithms include Recurrent Neural Networks (RNNs), Long Short Term Memory (LSTM) networks, and Generative Adversarial Networks (GANs).

RNNs, for instance, are particularly good at processing sequences, making them ideal for music composition, where one note often depends on the ones before it. LSTM networks, a special kind of RNN, excel at learning long-term dependencies to capture the thematic development of a musical piece. GANs approach the task differently: they consist of two neural networks competing against each other, one that generates music and one that evaluates its quality.

How Deep Learning Is Changing the Game for AI Music Creation

Deep learning has brought significant advancements to the field of AI music composition. As a subfield of machine learning, deep learning uses artificial neural networks designed to mimic the human brain’s operation. These models can process and analyze numerous layers of abstract data, allowing them to identify more complex patterns in music.

For instance, convolutional neural networks (CNNs), a deep learning model, are used for feature extraction in music generation. They can identify and extract significant features from complex musical datasets. This ability to recognize and learn intricate patterns makes deep learning particularly suited to creating innovative, original music.

Overall, the concept of AI-generated music demonstrates a fascinating convergence of art and science, bridging the gap between the creative spontaneity of humans and the precision of machine learning algorithms. Its continued development promises to revolutionize the way we create and consume music.

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Can Generative AI Make Music?

Yes, you can use generative AI, such as CoeFont, to create music. CoeFont is a cloud-based platform that offers a powerful AI voice generator and voice changer technology. It allows users to develop natural-sounding digital voices by converting text to speech or cloning existing voices using advanced AI algorithms and deep learning techniques. With a library of over 10,000 voices in multiple languages, CoeFont provides versatile voice options for various applications like video creation, live streaming, voice acting, and more. Try our AI voice changer for free today!

Is AI Generated Music Real?

Yes, AI-generated music is real. AI music generation uses computer systems programmed with AI algorithms to compose music without human intervention. These AI systems are usually trained on large datasets containing various musical pieces.

The AI uses this input to learn about different patterns, chords, melodies, rhythms, and styles in the music. After training, these AI models can generate entirely new and original musical compositions or emulate specific styles based on their learning.

It’s worth noting that there are different approaches to AI music generation. Some systems create music note-by-note, while others generate music based on larger blocks of compositions.

Try our AI voice changer for free today!

12 Best Generative AI Music Creation Tools

1. CoeFont: Your Go-To for AI Voice Generation

CoeFont is a robust cloud-based platform specializing in AI voice generation and voice-changing technology. The tool allows users to create natural-sounding digital voices by cloning existing voices or converting text to speech using advanced deep-learning techniques. With an extensive library of over 10,000 voices across multiple languages, CoeFont provides versatile voice options for various applications, such as video creation, live streaming, voice acting, and more.

Use Case

CoeFont is excellent for video creators who want to narrate their content with a realistic voice.

2. VoiceMod: Create Funny Song Parodies

Sometimes, you just want to have fun without trying to create serious music. Voicemod's text-to-song app falls into that category. It's closer to a meme generator than a composition tool for musicians, but it's still an impressive piece of tech. Users choose a genre and an AI voice to get started. Type in lyrics, and the app will create a short pop song.

Part of their AI magic is the ability to match the cadence of your words with a melody that fits into the instrumental backing track. You can share the file with friends and have a laugh, but it will take you only a little further than that.

Pros

Simple to use

There are many excellent, funny voiceover profiles

There is no cost and web-based tool, so no download is needed

Cons

Doing a project with Voice Changer io might take time because it is not a real-time voice generator.

Gamers or streamers might have to look for another option for real-time modulation.

There is no dedicated desktop app.

Not updated regularly as it is more of a hobby project.

Use Case

This free, web-based tool is perfect for creating funny song parodies. It takes your lyrics and generates a short pop song with a matching melody. It's excellent for quick laughs but could be better for serious music creation.

3. Udio: A Serious Text-To-Song App

Udio is the first text-to-song app to challenge Suno. It has an almost identical web application backed by some big investors. The engineering team includes former Google employees who worked on AI music at Deepmind, and rap icons Will.i.am and Common also support the company. Regarding features, the app generates two 30-second clips with 600 prompts (1200 audio clips) per month.

Users can extend those clips to make them longer or modify prompts to get closer to the target sound. Describe the kind of music you want to hear and provide lyrics to listen to them sing over that instrumental track. Then, you can publish directly to social media platforms or download the files locally to your computer.

Pros

Advanced Audio Analysis: Provides detailed insights and real-time audio data processing.

Improved Efficiency: Automates repetitive tasks, saving time and reducing manual effort.

Enhanced Accessibility: Offers features like speech-to-text and multi-language support.

Customization and Flexibility: Allows tailored settings and integrates well with other systems.

Cons

Accuracy and Precision: You may encounter errors in transcription or analysis, especially with complex audio.

Cost and Resource Intensity: Advanced features can be expensive and may require significant computational resources.

Use Case

This is a strong contender for serious music creation.

It lets you describe the music you want and provides lyrics to hear them sung over an instrumental track.

It offers a good balance between user-friendliness and customization options.

4. MusicGen: High-Quality Music Generation

One month after MusicLM was released, Meta released MusicGen. The audio quality is even better than Google's model. It is the only AI music generation tool that could meaningfully disrupt the music industry. Their text-to-song technology includes a melody condition, where users can upload a recorded audio file and combine it with written instructions about genre and instrumentation to create an entirely new song.

For the first six months, the best way to get high-quality music from MusicGen was to sign up for a Hugging Face account and create your own space. Adding a payment card lets you level up to their medium and large models. Instead of relying on a local CPU, Hugging Face provides the computer power as a paid service. Since then, a new product called SoundGen has come out that provides a better user interface with additional audio editing features that MusicGen lacks. It also includes unconventional prompting options like images and music.

We experimented with dozens of genres and found it was particularly good at creating jazz, classical, rock, and chip tunes based on melody conditions. Try inputting a melody from the main soundtrack of a classic arcade game and see how it reinterprets it! Each generation takes 30 seconds and up to 3 minutes, depending on your model. Once you've created it, you can listen and download it. For a detailed walkthrough on how to use and prompt the models, check out our full-length article on MusicGen.

Pros

Creativity and Inspiration: Generates original music compositions, providing inspiration and new ideas for musicians and composers.

Customization: This feature offers various parameters to control the style, mood, and structure of the music, allowing for personalized and tailored outputs.

Time Efficiency: Automating parts of composition speeds up the music creation process, which can be particularly useful for quickly producing large volumes of music.

Versatility: It can be used for various applications, including background scores, jingles, and soundtracks, making it a versatile tool for different music projects.

Cons

Quality Variability: The quality and originality of the generated music can vary, and it might only sometimes meet professional standards or specific artistic visions.

Lack of Human Touch: Generated music might need more nuanced emotional depth and personal touch that human composers bring to their work, potentially affecting the connection with listeners.

Use Case

This powerful tool excels at creating music in various genres based on melody conditions.

You can even upload a melody and combine it with instructions to create an entirely new song.

It's a paid service with a learning curve, but its advanced features allow for much creative control.

5. MusicFX

The Google Arts and Culture team has been exploring AI music generation for years, notably with Magenta Studio. Still, MusicLM was the company's first venture into creating songs from text prompts. We originally covered MusicLM in January 2023, when it was still just a technical paper published by their developers. In May 2023, they published a fully functional beta version that was free for anyone to use. You can access it in a browser or download the AI test kitchen from the app store to open it locally.

In 2024, they updated the app and renamed it MusicFX. Google's text-to-song model significantly improved Riffusion, producing longer clips with higher fidelity. They accomplished this using three music datasets (MusicCaps, Audioset, and Mulan) that were trained on over 40 million YouTube videos.

The music industry has yet to make much fuss over AI Test Kitchen's music generator, probably because the quality still needs to be better to disrupt actual music recordings. It's worth noting that Universal Music Group has already started collaborating with Google to train AI models on their music. We may see a much more powerful version of MusicFX drop this year, with artist remunerations built into the system.

Pros

Advanced Audio Effects: Provides a wide range of audio effects and enhancements, allowing for creative manipulation and refinement of music tracks.

Real-Time Processing: This product offers real-time audio processing capabilities, which are helpful for live performances or immediate feedback during production.

Customization Options: This option allows customization of detailed effects, letting users fine-tune parameters to achieve specific sound characteristics or styles.

Ease of Use: User-friendly interfaces typically make audio processing accessible to both beginners and experienced users, simplifying complex tasks.

Cons

Potential Quality Loss: Overuse or incorrect application of effects might degrade the original audio quality or introduce unwanted artifacts.

Limited Creativity: While it enhances and modifies existing music, it may not provide the same originality or creative input as composing from scratch.

Use Case

While not yet disruptive to the music industry, this tool offers promising advancements in text-to-song generation.

Its potential lies in future updates and collaborations, particularly when integrating artist remuneration.

6. Riffusion

In December 2022, a free text-to-song app called Riffusion hit the scene. It made headlines for creating short musical themes from images of song clips. The developers at Riffusion took an unconventional route, using Stable Diffusion to train on spectrograms, or pictures of sound waves, and then generate new images that they converted into audio. In October 2023, the company released a new and improved app version.

Users can log in and build their audio library with text-to-music prompting. Like Chirp and Splash Music, users can also type in lyrics and hear them played back by an AI vocalist. The company has also reportedly raised a $4M round, indicating plenty of growth for this Riffusion. However, we have not seen any meaningful updates to the platform since they launched that public beta in late 2023.

Pros

Creative Inspiration: Generates unique riffs and musical loops that can serve as a foundation or spark for new compositions, helping to overcome creative blocks.

Rapid Prototyping allows for the quick generation of musical ideas, which can speed up the songwriting and production process.

Variety of Styles: Can produce riffs in different genres and styles, offering versatility and broadening creative possibilities.

Ease of Use: It is typically designed with an intuitive interface, making it accessible for users at various skill levels.

Cons

Quality Consistency: The quality and coherence of generated riffs can vary, and some might need to meet the desired professional or artistic standards.

Limited Complexity: We may need help generating more complex musical structures or integrating riffs into a cohesive, complete composition, potentially requiring additional manual refinement.

Use Case

This tool generates short musical themes from images of song clips.

It helps overcome creative blocks or spark new ideas.

7. Mubert AI

Mubert is an AI music generator with a text-to-music web app. It's not their primary offering, but it's still a fun piece of tech to explore. Enter prompts, set your track duration, and hit a generate button. In less than a minute, you'll have a complete song idea with details about the BPM and key signature.

Behind the scenes, your text prompt is encoded to latent space vectors of a transformer neural network and matched with existing labeled MIDI loop data. The closest tag vectors are chosen and sent to the Mubert API, where they generate entirely new music. If you want to learn more, you can find their Python code at this Github repo. They also offer a Google Colab environment for more nuanced experimentation.

Pros

Customizable Soundscapes: This feature offers a range of customization options for generating ambient music and soundscapes tailored to specific moods, settings, or themes.

Endless Variability: It produces continuously evolving music, making it suitable for dynamic and non-repetitive audio applications, such as background music or relaxation apps.

Ease of Integration: This can be easily integrated into various platforms and applications, providing a seamless way to enhance user experiences with custom audio.

Time and Cost Efficiency: Speeds up the process of generating music and soundscapes, reducing the need for expensive and time-consuming human composers for specific applications.

Cons

Limited Control: Compared to traditional composition methods, users may need more granular control over specific musical elements, which could limit creative precision.

Quality Variability: The generated audio might lack human-created music's sophistication or emotional depth, potentially affecting its appeal in more critical or high-stakes contexts.

Use Case

This tool offers a fun way to generate endless, evolving ambient music for background scores, relaxation apps, or any situation requiring non-repetitive audio.

8. Kits.AI

Kits AI is a freemium web app that delivers voice-to-voice audio conversion based on high-quality, royalty-free voice models. Users record vocals directly into the app or upload a clean, vocal audio file in MP3 and WAV format. During our tests, it took less than a minute to complete the AI voice conversion, and all of the subtleties from the vocal performance were retained. If you're looking for a sound that the existing voice collection doesn't offer, Kits AI includes an AI voice model creation feature. Upload up to 30 minutes of a capella audio files using a single voice, and with a single click, you can train your custom AI model. Before starting this process, check out their voice model creation guide to familiarize yourself with best practices.

Pros

Accuracy: Provides precise data analysis and insights.

Scalability: Adapts to varying data volumes and business needs.

Cost-Effective: Reduces long-term operational costs.

Customization: Tailors solutions to specific needs.

Cons

Setup Complexity: Requires significant initial investment and integration effort.

Data Privacy: Raises concerns about handling sensitive information.

Data Quality Dependency: Effectiveness depends on high-quality data.

Lacks Human Touch: We need to understand the empathy and nuance of human interactions.

Use Case

Offers voice-to-voice audio conversion with high-quality, royalty-free voice models.

Primarily for audio editing, not music creation. (Not specifically for music)

9. Controlla Voice

Controlla.XYZ launched in July 2021 as a spatial audio company and has grown into a mature web app where people can train their own AI singing voice models. Controlla Voice allows users to train AI singing models from capella vocal stems. Ideally, Vocal takes should include a few different intensity levels and feature melodies spanning an octave or more. There are exceptions, like training a rapping or speech model, where the pitch range can be less than an octave.

Pros

Hands-Free Operation: Allows users to control devices and applications without physical interaction, enhancing convenience and accessibility.

Increased Productivity: Streamlines tasks and workflows by enabling voice commands, which can speed up operations.

Accessibility: Improves usability for individuals with disabilities or limited mobility by offering voice-controlled alternatives.

Customization: Often provides customizable voice commands and integration options tailored to specific user needs or applications.

Cons

Accuracy Issues: Voice recognition may need help with accents, background noise, or unclear speech, leading to errors or misunderstandings.

Privacy Concerns: Constant listening and voice data processing raise data security and privacy concerns.

Limited Context Understanding: The ability to understand nuanced or complex commands may be lacking compared to human interaction.

Dependency on Technology: Requires reliable internet or system connections; issues can disrupt functionality.

Learning Curve: Users may need time to adapt to and master the voice commands and system nuances.

Use Case

Allows training your AI singing voice models from a capella vocal stem. (Not for beginners)

10. Vocaloid

Vocaloid by Yamaha was also built with music producers in mind. With over 100 voices, you can quickly test different vocal types on your track. Vocaloid 6 includes a voice changer, so you can sing and transform a melody, but we found it less feature-rich than ACE Studio.

Pros

Creative Freedom: Enables users to compose and produce music without a human singer.

Consistency: Delivers consistent vocal performance without variations in tone or pitch.

Customizable Voices: Offers a range of voice banks with different vocal characteristics and languages.

Accessibility: Provides tools for creating music accessible to those without vocal training.

Cost-Effective: Reduces the need for professional vocalists, potentially lowering production costs.

Cons

Lack of Human Emotion: A live human performance may need more emotional depth and nuance.

Complexity: Requires learning and mastering the software, which can be complex for beginners.

Limited Naturalness: Despite advancements, synthesized voices can still sound robotic or artificial.

Use Case

It is a popular choice for music producers, offering a vast library of vocal types for creating music without needing a human singer.

However, the lack of human emotion and potentially robotic-sounding voices can be limitations.

11. Synthesizer V

Synthesizer V is another AI voice generator explicitly geared to musicians. The company is based in Tokyo, where artificial intelligence and music have been famous for over a decade. They've also created a more robust interface for editing and improved initial output. Like Melodyne and Vocaloid, you can sculpt your AI voice's melody. Drag the notes up and down in the audio equivalent to a MIDI editor, and Synth V creates a smooth render without losing the emotional tone of the voice.

Pros

Natural Sounding Voices: High-quality, realistic vocal synthesis closely mimics human singing.

Advanced Features: This package includes features like expressive control, detailed phoneme adjustments, and dynamic range, allowing for more nuanced performances.

User-Friendly Interface: Designed to be accessible with a relatively intuitive interface for users at various skill levels.

Customizable Voice Banks: Supports a range of voice and customization options to suit different musical styles and languages.

High Flexibility: Allows for extensive manipulation of vocal attributes, enabling creative and detailed vocal production.

Cons

Complexity for Beginners: Despite its user-friendly interface, mastering all the advanced features can be challenging for newcomers.

Cost: Some features and voice banks may come with additional costs, which can be a barrier for hobbyists.

Resource Intensive: High-quality voice synthesis can be demanding on system resources, requiring a powerful computer for smooth performance.

Use Case

Another strong AI voice generator for musicians, known for its natural-sounding voices and advanced editing features.

12. Emvoice

Emvoice One has taken a novel approach to AI singing software, combining a MIDI piano roll interface with text boxes for lyrical snippets. Users program a melody manually, and Emvoice will spawn a dedicated text area for each melodic segment. Type in your short phrase, and the vocal model will do its best to match the melodic shape to the pattern of your words.

Pros

Realistic Vocals: Offers high-quality, natural-sounding vocal synthesis focusing on human-like articulation.

Ease of Use: It features an intuitive interface, making it accessible to users with varying levels of experience in vocal synthesis.

Quick Integration: Designed to integrate smoothly with popular DAWs (Digital Audio Workstations), facilitating seamless workflow in music production.

Flexible Voice Options: This feature provides a range of voice types and settings to customize vocal performances according to different musical needs.

High-Quality Output: Known for delivering professional-level vocal output suitable for various genres and applications.

Cons

Limited Voice Variety: It may have fewer voicebanks than other vocal synthesis platforms.

Limited Expressiveness: Despite advancements, it may only partially capture the emotional depth and subtle nuances of live human singing.

Use Case

It combines a MIDI piano roll interface with text boxes for lyrical snippets. It provides high-quality, realistic vocals and integrates smoothly with popular DAWs. However, it may have limited voice variety compared to other options.

How Can AI Be Used In Music

AI Music Generators in Film and TV: How They Work and Why They Matter

AI music generators can create original scores for films, commercials, and television shows. This can help filmmakers and producers quickly obtain high-quality music that enhances the emotional impact of their visual content.

Cost-Effective Solutions

AI-generated music can be more cost-effective than hiring a human composer, making it an attractive option for indie filmmakers and low-budget productions.

Quick Turnaround

The speed at which AI can generate music is particularly beneficial for projects with tight deadlines.

Emotional Resonance

AI can analyze a scene's emotional tone and generate music that enhances its impact, creating a more immersive viewing experience.

Versatility

AI music generators can create various musical styles and genres, ensuring the score matches the film or show’s atmosphere and setting.

AI Music Generators in Video Games: How They Work and Why They Matter

In the gaming industry, AI music generators can produce adaptive soundtracks that respond to in-game actions and events. This creates a more immersive and dynamic gaming experience for players.

Adaptive Soundtracks

AI-generated music can change based on player actions in real-time, creating a more engaging and responsive gaming experience.

Diverse Musical Styles

AI can generate music in various styles, ensuring the soundtrack fits the game’s setting and tone.

Cost and Time Efficiency

As with film and television, AI-generated music can be more cost-effective and faster than traditional composition methods.

Enhanced Immersion

Generating context-aware music enhances players' overall immersion and emotional engagement.

AI Music Generators in Advertising: How They Work and Why They Matter

Advertisers can use AI music generators to create catchy jingles and background music for commercials. This can help brands stand out and connect with their audience on an emotional level.

Catchy Jingles

AI can analyze successful commercial music and generate catchy jingles that resonate with audiences.

Brand Alignment

Customizable parameters allow advertisers to create music that aligns perfectly with their brand identity.

Quick Production

The speed of AI music generation is particularly beneficial for advertising campaigns that need to go to market quickly.

Targeted Music

AI can generate music tailored to specific demographic groups, enhancing the effectiveness of marketing campaigns.

AI Music Generators for Personal Use: How They Work and Why They Matter

Individuals can use AI music generators for personal projects, such as creating background music for YouTube videos, podcasts, or social media content. This makes it easier for content creators to enhance their work with professional-quality music.

YouTube and Podcasts

Content creators can use AI-generated music to enhance the overall production quality of their videos and podcasts by adding a professional touch.

Customizable music can make social media posts more engaging and shareable.

Hobbyists and Amateurs

Thanks to the accessibility of AI music generators, even those with no formal music training can create high-quality music for their projects.

Event Music

AI music generators can create personalized music for events such as weddings, parties, and corporate functions, adding a unique touch to the occasion.

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Try CoeFont's AI Voice Changer for Free Today

CoeFont’s cloud-based platform offers a powerful AI voice generator and voice changer technology. It allows users to create natural-sounding digital voices by converting text to speech or cloning existing voices using advanced AI algorithms and deep learning techniques.

With a library of over 10,000 voices in multiple languages, CoeFont provides versatile voice options for various applications, such as video creation, live streaming, voice acting, and more.

Try our AI voice changer for free today!