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Top 14 Open Source AI Voice Projects

In recent years, we’ve seen an explosion of new ideas and tools in the artificial intelligence industry. These new AI tools let users create and express themselves like never before. 

The art world was taken by storm with AI art tools like Midjourney and Stable Diffusion. Meanwhile, writing and coding will never be the same, thanks to AI chat tools like ChatGPT

While audio and voice haven’t seen the same spotlight on the news, AI developers are hard at creating AI voice projects indistinguishable from humans. From conversational chatbots to AI vocals on songs, you can create all types of voice and vocal projects with AI. 

The open source AI community is leading the way and creating some of the best AI voice tools. But, with so many different projects, it’s hard to find the best ones. Today, we’ll cover our picks for the top 14 open-source AI voice projects. 


During this article, you’ll see these three terms often, NLP, NLU, and NLG. They are subfields of artificial intelligence (AI) and computer science. Each field offers a different perspective on tackling the language barrier between humans and machines. 

Below, we’ve explained each term and explained their differences. 

Natural Language Processing (NLP)

Natural Language Processing focuses on studying and developing language between humans and computers. NLP developers create algorithms and techniques that improve a computer’s understanding of human language. This lets the computer interpret and interact more as a human and less as a machine.

Natural Language Understanding (NLU)

Natural Language Understanding is a subform of NLP. It helps computers understand language the same way as a human. NLP differs from NLP by focusing on the semantic meaning of words in a language. 

NLU excels in developing projects that feature name recognition, role labeling, and sentiment analysis. This helps the computer better understand the context of the conversation. 

Natural Language Generation (NLG)

Finally, Natural Language Generation is another subfield of NLP. This subfield focuses on developing applications that generate human-like speech and speech patterns. NLG focuses on syntax and semantics while also incorporating style and tone.

NLG uses techniques like template-based, rule-based, and machine learning-based systems to generate speech and text for everything from chatbots to automate reports. 

Open Source AI Voice Projects

AI voice is a quickly advancing industry. Every day, new and exciting projects are announced. Today, you can use these projects in everything from websites with voice chatbots to AI-created voiceovers. 

Recent advances in AI voice make it hard to tell the difference between AI and humans. As technology advances, many teams are leading the way. Below are the top 14 open-source AI voice projects currently in development. 

Hugging Face

Hugging Face is a tool and platform for developing machine learning and AI projects. With one of the largest user bases, Hugging Face has extensive resources that help developers create impressive AI tools. Its ease of use and huge libraries make Hugging Face one of the fastest-growing AI communities.

The natural language processing tools on Hugging Face include a wide range of projects, including question answering, translation, summarization, and conversational. Combined with a text to speech tool, you can use Hugging Face to create effective AI voice projects. 

This open-source platform lets users develop and deploy their tools. You’ll find hundreds of voice AI projects ready to use on Hugging Face. 

Mycroft AI

Mycroft AI is an open-source voice platform that lets you interact with a variety of devices through voice commands. The software is customizable and lets developers design skills based on their specific needs.

Since it’s open source, any developer can freely extend and deploy their version. You can use a variety of devices like smart speakers and smartphones to interact with a range of applications. 

Mycroft AI prides itself on its open-source format, and they actively encourage sharing the project and building better AI voice software and products. 

Josh lets you control your home through your voice. It uses NLP technologies to access home smart devices through voice commands. 

Like Siri, Josh can understand natural commands. You can talk to it like a person, and it can easily understand complex instructions. Josh is making the dream of a futuristic connected home a reality. 

The internet of things is actively growing, and Josh gives you access to every tool and device in your home. Josh also offers a wide range of AI voice products, including smart speakers and smart home integration systems. 

Coqui is an open-source project with an improved natural language processing model. Using the TensorFlow and PyTorch frameworks, Coqui generates AI voices for video games, post-production, dubbing, and more. 

Coqui boasts features like voice cloning, generative voices, and voice control. It’s great for creating unique and dramatic voice overs for videos and games. Whether you want to simulate your voice or create a new voice, Coqui is ready for the task. The library of included voices features everything from a grumpy old man to young cheerful student voices. 

The application also gives you precise control of your recording. You can alter flow, sentiment, emotion, and more by using the built-in editing tools of Coqui.

This user-friendly platform gives developers a chance to improve and develop new speech and NLP models. 


Common Voice is Mozilla’s voice AI project. The project is actively teaching machines how to speak like real people. Their goal is to create an AI voice that is natural and human-like. 

Mozilla is developing the tool by amassing an extremely large amount of voice data. The Common Voice website lets you donate your voice and validate the voice of others. 

The recording is easy, and each sentence you speak helps train their model. You can also use the validate option to hear others’ recordings. With over 26,000 hours of voice recording, Mozilla hopes to create a flawless AI that speaks in a tone and rhythm like a human. 


Pandorabots started as a chatbot for B2C messaging. It’s since grown into one of the leading intelligent conversational tools online. They are working on diverse projects, including AI character chatbots, open source conversational AI, and multilingual chatbots. 

Using both natural language understanding (NLU) and natural language generation (NLG), Pandorabots have impressive capabilities compared to other bots. The advanced algorithms let a Pandorabot converse naturally. 

Since it’s open source, Pandorabots is always improving and expanding. They have a small talk library that boasts a catalog of over 10,000 inputs. Meanwhile, Pandorabots actively encourages developers to use their API to build new and exciting chatbots. 


SingularityNET is one of the biggest decentralized AI marketplaces running on blockchain technology. You can find a growing library of community-created AI algorithms and tools on SingularityNET. 

The site covers all AI tools and libraries you can use freely. There is an AI marketplace where you can find countless tools to create chatbots, train AI models, and create voice AI. You can find speech recognition, voice translation, voice synthesis, and other voice-related tools on SingularityNET.

Of course, SingularityNET gives you tools to create your open-source AI voice project. 


Rasa helps you and your business improve interactions through conversational AI tools. This open-source platform lets you design and deploy conversational AI chatbots and virtual assistants. 

Rasa is fully modular and encourages users to use different components to create a chatbot that meets their needs. It’s easy to implement messaging apps and voice assistants with Rasa. 

The Rasa community is growing, and you’ll find countless free community-developed apps ready to deploy on your website. You can custom-tailor any of these apps to match your niche. Feel free to create anything from an insurance agent assistant to an IT service desk support desk with Rasa and its tools. 


Uberduck is an open-source voice AI community. Boasting over 5,000 voices, you can use the tools and libraries at Uberduck to create amazing and expressive voice recordings, AI chatbots, and other tools. 

Uberduck gives you expansive control of voices, including voice cloning and text-to-speech tools. One of their standout features is their rap song tool. This tool creates expressive and poetic rap songs from your text lyrics. 

As an open-source AI project, Uberduck encourages developers to create new voices, models, and modules for their tools. actively encourages developers to create new and interesting AI projects with their tools. With over 20,000 members on the platform, Stability is leading the way in AI.

While most popular for their text-to-image software, Stable Diffusion, the team at Stabilty.AI is hard at work creating a diverse collection of tools, including medical research AI, music generator AI, and more.

Their Eleuther.AI hosts different AI projects, including voice generation and voice over tools. 


spaCy is a natural language processing tool designed for industrial-strength uses. Built on Python, the spaCy library helps developers build NLP applications that can easily understand and process multilingual text. 

You can find tools like the text to data, named entity recognition, and dependency parsing on their large open-source library. spaCy is an efficient library that lets developers create code quickly and optimizes their projects for performance. Once ready, deploying your new tool using a wide range of Python libraries and frameworks is easy. 

spaCy understands and can communicate in over 71 languages, making it ideal for developers who need to create international tools. With a community of over 25,000 developers, spaCy is a key player in the open-source AI voice project community.


Jovo is an open-source framework for building voice applications. Jovo was built from the ground up to help developers create voice applications that work across several platforms. This feature makes it one of the best options for creating tools for Alexa, Instagram, Facebook Messenger, and Google Assistant. 

Jovo excels by giving developers the tools they need to create AI voice tools efficiently. Some key features include a command line interface for project management, flexible routing systems, and integration with popular services like AWS Lambda and Dialogflow. 

You’ll also find an active open-source community working with Jovo. The community is actively creating helpful tools that improve a user’s experience. offers an open-source deep-learning library for Python. This library simplifies and speeds up the creation of deep neural networks. You’ll find API-building models, pre-trained AI models, and a host of other utilities on

The library’s key features are its usability and accessibility. designed the library from the ground up to make AI and deep learning more accessible. The library also features extensive tutorials and educational resources for new developers. 

If you’re just learning to use voice apps with AI, you’ll find the audio and voice tutorials essential to your learning process. 


Scikit-learn is a machine-learning library for Python. This open-source project offers a range of tools that help developers work with structured data. Easy to use, novice developers can take full advantage of the libraries and use them to improve their machine-learning abilities. 

The libraries include topics like classification, regression, clustering, model selection, and preprocessing. There’s also a helpful community of developers helping improve Scikit-learn as they develop new libraries for the project. 

You can access the API directly from their website and use it in any application you are developing. If you’re not sure where to start, Scikit-learn has a helpful real-world example library that gives you a wide range of active applications to try. 

Open Source AI Voice Projects, Final Thoughts

As you can see, there are many different open-source AI voice projects available today. Their developers and communities are hard at work perfecting a wide range of tools and applications that improve the user experience. 

From virtual assistants to AI-generated rap songs, AI voice projects are improving every day. By leveraging these open-source tools, developers can create innovative and powerful AI voice tools that are indistinguishable from humans. 

What does the future hold for AI? By approaching AI with care and intentionality, we can work towards a future where AI benefits everyone and enhances our lives in meaningful ways.

Are you a voice actor looking to protect your voice from online theft? Read our blog How to protect your voice IP when working in AI

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    March 19, 2023, 9:59 am

    Très bon