12 Best AI Music Voice Generator Tools

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Consider a world where you can create music at the click of a button. You can generate a song in any genre, style, or mood and customize it to your liking. You can even choose the track's vocals from various voice profiles. AI music generators are reshaping how we create music. They are beneficial for content creators who need music for their projects.

But instead of just using a generic voice for your next video, podcast, or game, wouldn’t it be nice to personalize the sound of the music to fit your preferences? This is where AI music voice generators come in. What is text-to-speech? It’s a technology that converts written text into audio using artificial intelligence. An AI music voice generator uses similar technology to create a vocal track for your music. The process can be rapid and produce realistic results.

In this guide, we’ll explore the ins and outs of AI music voice generators, how they work, and their benefits to help you achieve your objectives, like generating your own AI voice for music. CoeFont’s solution, AI voice changer, is valuable to help you reach your goals. This innovative software can help create realistic, personalized singing voices for your next music project.

What is A Music Voice Generator?

A music voice generator, or vocal synthesizer, is a software tool that creates realistic vocal tracks from text input. It employs advanced algorithms to convert text into audio, mimicking the human voice.

How Does a Music Voice Generator Work?

The advanced algorithms behind music voice generators convert text into audio through steps. Here’s a simplified breakdown of the process:

1. Text Input

The user enters the desired text into the software.

2. Text Analysis

The software analyzes the text, breaking it into individual words, syllables, and phonemes.

3. Phoneme-to-Sound Mapping

The software maps each phoneme to a corresponding sound unit or waveform.

4. Prosody and Intonation

The software applies rules for prosody (rhythm, pitch, and intonation) to create a natural-sounding vocal performance.

5. Synthesis

The software combines the individual sound units to generate the final audio output.

Advanced music voice generators may also incorporate machine-learning techniques to refine the generated vocals and make them sound more human-like. These techniques can involve training the software on large datasets of human speech to learn patterns and nuances.

Text To Speech Assistive Technology

Can AI Produce Music Voice?

Yes, you can use AI tools like CoeFont to generate music. 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. CTA: Try our AI voice changer for free today!

12 Best AI Music Voice Generator Tools

1. CoeFont: A Cloud-Based Powerhouse for Voice Generation

CoeFont is a robust cloud-based platform with an advanced AI voice generator and voice changer technology. Users can create realistic digital voices by converting text to speech or cloning existing voices using AI algorithms and deep learning techniques. With a library of over 10,000 voices in multiple languages, CoeFont offers versatile voice options for various applications like video creation, live streaming, voice acting, and more. Try our AI voice changer for free today!

Use Case

CoeFont is excellent for anyone creating realistic voiceovers for a project.

Its extensive library of voices makes it easy to find the perfect match for your needs and customize it for a unique sound.

2. VoiceMod: A Fun Text-To-Song Generator

Sometimes, you just want to have a little 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 a lyric, 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

No cost and 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.

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 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 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: Text-To-Song Technology from Meta

One month after MusicLM was released, Meta released MusicGen. The audio quality is even better than Google's model, and 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 to 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 composition parts speeds up the 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: Google's Music Generation Tool

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 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.

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: A Unique Approach to AI Music Generation

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 images 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 full composition, potentially requiring additional manual refinement.

Use Case

Generates short musical themes from images of song clips. It helps overcome creative blocks or spark new ideas.

7. Mubert AI: An AI Music Generator for Ambient Music

Mubert is an AI music generator that comes 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. You can find their Python code at this Github repo to learn more. 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 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 certain applications.

Cons

Limited Control: Compared to traditional composition methods, users may have less 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.

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: Voice-to-Voice Audio Conversion

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, the AI voice conversion took less than a minute to complete, 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: Train Your Own AI Singing 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 a 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 own AI singing voice models from a capella vocal stem. (Not for beginners)

10. Vocaloid: A Music Production Tool with AI Voice Generation Features

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 accessible music for 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: A Vocal Synthesis Tool for Musicians

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 voicebanks 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 is known for its natural-sounding voices and advanced editing features.

12. Invoice: A Unique Approach to AI Singing Software

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: 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.

Use Cases of AI Music Voice Generator

1. Customized Music Playlists

AI-driven recommendation systems have become a crucial resource for music lovers. Platforms like Spotify use AI algorithms to analyze user behavior, preferences, and contextual data to create tailored playlists. AI helps musicians and music enthusiasts uncover new tracks that fit their unique tastes by evaluating musical genres, tempos, moods, and user patterns. For example, Spotify’s “Discover Weekly” playlist suggests songs based on a user’s listening history, helping artists gain exposure to new fans and expand their reach.

2. Original AI-Composed Music

Witness the marriage of creativity and technology as AI systems produce original compositions. Companies utilize machine learning models trained on vast music databases to compose melodies, harmonies, and lyrics. These AI-generated compositions provide a creative spark for musicians, offering new ideas and expanding the boundaries of music creation. For instance, AI-powered platforms allow users to input specific parameters like genre, mood, and tempo to generate unique royalty-free music tracks for various applications, from background music in videos to commercial jingles.

3. Intelligent Music Production Tools

Unleash your creativity with AI-powered, AI music production tools. Companies utilize machine learning algorithms to assist in audio mixing, mastering, and sound design tasks. These tools analyze audio tracks, identify areas for improvement, and provide intelligent suggestions to enhance the overall sound quality. Musicians and producers can optimize their workflow, experiment with innovative techniques, and achieve professional-level results with AI-powered production tools.

4. Automated Transcription and Notation

Experience the convenience of automated music transcription and notation. AI algorithms can analyze audio recordings and convert them into sheet music, saving musicians valuable time and effort. This technology enables seamless collaboration, as musicians can easily share their musical ideas in a format others can read and understand. AI-driven transcription services allow musicians to transcribe melodies, chords, and complex orchestral arrangements accurately.

5. Virtual Collaborators and AI-Assisted Composition

Discover how AI acts as a virtual collaborator, inspiring and assisting in the creative process. AI-driven tools offer intelligent suggestions for chord progressions, melodies, and arrangements. Musicians can input their ideas, and the AI system generates complementary musical elements, helping to overcome creative blocks and explore new musical territories. These virtual collaborators provide valuable insights and spark creativity, enabling musicians to push their artistic boundaries.

6. Real-Time Performance Enhancement

Explore how AI algorithms can analyze and enhance live performances in real-time. Vocalists can benefit from AI-powered pitch correction and vocal harmonization tools, ensuring a polished and professional sound during live performances. Additionally, AI algorithms can provide dynamic control and apply audio effects based on real-time analysis of the performer's voice or instrument. These tools offer musicians various options to elevate their live performances and engage with audiences.

7. Music Copyright Protection

Examine the role of AI in safeguarding intellectual property rights in the digital age. AI technologies, such as audio fingerprinting and content matching algorithms, help detect and prevent unauthorized use and distribution of copyrighted music. AI-powered tools utilize audio recognition techniques to identify copyrighted music in user-uploaded content. This allows artists and copyright holders to protect their work and receive proper compensation for its use.

8. AI-Powered Music Marketing and Promotion

Uncover the potential of AI in music marketing and promotion. AI algorithms analyze vast user data, including listening habits, demographics, and preferences, to identify trends and optimize marketing strategies. These insights help musicians tailor their marketing efforts, target specific demographics, and connect with their audience more effectively. AI-powered advertising campaigns also enable precise targeting, ensuring that musicians reach the right listeners and maximize the impact of their promotional activities.

9. AI-Driven Music Education

Experience the transformation of music education through AI. Intelligent tutoring systems and virtual music instructors offer personalized lessons, interactive practice sessions, and feedback tailored to individual learners. AI algorithms analyze learners' performances, identify areas for improvement, and provide real-time feedback. By adapting to each student's skill level, learning style, and progress, these AI-driven tools make music education more accessible, engaging, and effective.

10. Emotion Recognition and Music Analysis

Discover how AI can analyze and interpret human emotions in music. By employing machine learning techniques, AI algorithms can detect emotional nuances, mood patterns, and musical characteristics within songs. This capability allows musicians to create impactful and emotionally resonant compositions that connect with listeners on a deep level. AI-powered tools utilize emotion recognition techniques to provide insights that artists can leverage to craft more compelling musical experiences.

Synthesia Alternatives

How To Produce Music With AI Voice Generators

Pick Your AI Voice Generator

Begin your adventure by picking an AI voice generator. There are plenty of choices in voice generators. CoeFont is one example, but I recommend exploring different options before settling on the one that suits your needs.

Get Your Lyrics in Order

Next, organize your lyrics. You can write your songs from scratch or select existing ones for the AI voice to sing or speak.

Feed the AI Voice Generator Your Lyrics

Now, it's time to let the AI voice generator do its job. Use the provided interface or API to feed the generator your lyrics. You can also select the vocal style or genre you want to use here.

Generate the AI Voice Track

Next, generate the AI voice track. This may take some time, depending on the complexity of the AI voice generator and the length of your lyrics.

Download the AI Voice Track

Once the AI voice track is generated, download it as an audio file. Ensure the file format matches your digital audio workstation or music production software.

Import the AI Voice Track into Your DAW

Open your DAW and import the AI voice track as a new audio track. This will allow you to manipulate and arrange the AI vocals within your music project.

Mix and Master Your Music

Apply any necessary audio processing, mix your music tracks, and master the final mix to achieve the desired sound quality.

Experiment and Refine

Finally, explore different variations of the AI voice track, experiment with effects and processing plugins, and refine your music until you achieve the desired result.

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!