7 Best AI Song Cover Generator Tools

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Have you ever wished you could sing like your favorite artist? Or would it be cool to have a cover of a popular song but with your voice? AI song cover generators can make this possible! With the recent advancements in artificial intelligence, particularly with text-to-speech, we can now change any singer's voice to sound like someone else, including your voice! But, what is text-to-speech?

This guide will help you understand what an AI song cover generator is, how it works, and why you should use it. We’ll also introduce you to CoeFont's AI voice changer. This tool can help you achieve your objectives, like generating AI voice.

What is An AI Song Cover Generator?

AI song cover generators use artificial intelligence to create cover versions of songs. These tools analyze existing tracks and produce new versions replicating certain aspects of the originals. This could involve using vocal synthesis to generate a new performance of a song that sounds like a different artist or even creating an entirely new composition based on the original. The results can be impressive.

How Do AI Song Cover Generators Work?

Different AI song cover generators work in various ways. Some focus on audio generation, while others prioritize vocal synthesis or music composition. Here’s a closer look at how these tools function.

Audio Generation

Audio generation tools analyze a target song and then create a new version miming certain original aspects. They might alter the vocal performance, switch up the instrumentation, or even change the arrangement to give the song a new feel. Often, these tools can mimic different musical genres or replicate the style of specific artists. The result is a cover that could belong to a different artist’s album.

Music Composition

Other AI song cover generators work by composing entirely new music based on an original song. These tools might create new melodies or harmonies that capture the essence of an existing track while offering something fresh and unique. The result may not sound like the original, but it could still be a creative jumping-off point for a new song.

Vocal Synthesis

Some AI song cover generators focus specifically on vocal synthesis. These tools can take the melody of an existing song and generate a new performance that sounds like a different artist. Others can even create entirely new vocal performances in a synthetic voice. The result is a cover that can either sound like a different human artist or an altogether digital creation.

How to Make AI Cover Songs with Any Artist’s Voice

Creating an AI-generated song cover starts with choosing the right tools. These specialized platforms, such as CoeFont, help with the music generation. CoeFont’s AI technology can help create covers and reimagine existing songs. Other options include vocal synthesis tools like iZotope’s VocalSynth and Synthesizer V, which can modify or create new vocals for your music. Finally, you can use audio editing software like Adobe Audition or Audacity, which can include AI plugins for mixing and mastering your cover.

Pick the Original Track

Next, select the song you want to cover. If you plan to share your cover, ensure you have the right to use the track or that it falls under fair use.

Prepare the Input Data for the AI Cover

Before generating your AI cover, you must prepare the input data. Start with the lyrics and melody of the original song. Some AI tools require this information in a specific format, so check the requirements. Next, decide on any style preferences. For example, do you want to emulate a particular artist or sound? Many AI music generators let you select or input style preferences to guide the cover generation process.

Generate the AI Cover

Load the original song and any input data into your AI tool of choice to create the cover. Follow the specific instructions to generate the music. This process might involve tweaking parameters, choosing styles, or other customizations. Once the AI has generated a cover, listen to it and make any necessary adjustments. This could involve re-rendering certain parts, adding elements, removing parts, or tweaking the mix.

Editing and Mixing the AI Cover

Next, use audio editing software to polish your cover. Adjust levels, add effects, or refine the mix to achieve a professional sound.

Review and Finalize Your AI Cover

Listen to the final version and ensure it meets your expectations. Check for any issues with the sound quality, vocals, or arrangement.

If you plan to share or distribute your AI-generated cover, comply with copyright laws and the terms of use of the AI tool you used. Depending on how you distribute or monetize the cover, you might need permission from the original song’s copyright holders.

Try Coefont’s AI Voice Generator

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 like video creation, live streaming, voice acting, and more. Try our AI voice changer for free today!

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7 Best AI Song Cover Generator Tools

1. CoeFont: The Ultimate Text-to-Speech Tool

CoeFont is an impressive cloud-based platform specializing in AI voice generation and voice modulation technology. With CoeFont, users can create realistic digital voices by converting text to speech or cloning existing voices with advanced AI algorithms and deep learning techniques. CoeFont has an impressive library of over 10,000 voices in multiple languages, making it easy to find the right voice for any application, including video production, voice acting, live streaming, and more.

2. VoiceMod: The Fun AI Voice Generator

Sometimes, you 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 the 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 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 a web-based tool, so no download is needed.

Cons

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.

3. Udio: The Competitor to Beat

Udio is the first text-to-song severe app to challenge Suno. Its almost identical web application is 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 processing of audio data.

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.

4. MusicGen: AI Music Creation for the Masses

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 local CPUs, 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.

5. MusicFX: Google's Text-to-Music Generator

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've made some updates to the app and renamed it to MusicFX. Google's text-to-song model significantly improved Riffusion, producing longer clips at 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 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 provide a different originality or creative input than composing from scratch.

6. Riffusion: The AI Song Cover Generator That Uses A Unique Approach

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; 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.

7. Mubert AI: The Ambient Music Generator

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: Produces continuously evolving music, making it suitable for dynamic and non-repetitive audio applications, such as background music for 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 the sophistication or emotional depth of human-created music, potentially affecting its appeal in more critical or high-stakes contexts.

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Applications of AI In Music

AI gets the music community buzzing for its ability to enhance existing music. Music lovers enjoy tweaking classic hits and tuning them for new generations. AI helps identify various components of music like tempo, beats, instrumental components, or vocals. AI-based software like PhonicMind uses AI algorithms to eliminate vocals from music. Once everything is processed, you’ll have separate tracks: vocals, drums, and bass. With this software, one can make professional-sounding karaoke mixes out of any song.

Crafting Sound Effects for Movies

Movie directors have already worked hard to create new avenues for the latest generation of viewers to create new rhythms and sounds in their movies. Memorable effect movies like Avatar are the perfect example of advanced technology being used in movies.

For such unique sound experiences, creative directors use AI to offer some suitable compositions for sounds that are sometimes impossible or impractical to produce otherwise. Deeper neural networks now use AI technologies like algorithms and machine learning models. It helps assess the sound features to make an entirely new sound depending on the demands of the scenarios.

Making VR Concerts a Delightful Experience

Robbie Williamson, a musician and co-founder of Revolver.ai, uses AI to produce music videos. It turns user-generated content into music videos using artificial intelligence. The company’s AI system creates a visual that matches the music’s mood and style after it analyzes a song’s audio. As a result, AI significantly impacts content creation to aid artists in developing their online presence. Artificial intelligence may one day provide virtual reality performances and experiences.

Try CoeFont's AI Voice Changer for Free Today

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!