7 Best Open Source Voice Assistants

Explore the world of open source voice assistants and learn about the advantages of using them as your personal assistant.

A voice assistant is a digital assistant that can be found on several devices. It uses voice recognition, speech synthesis, and natural language processing (NLP) to listen to the user's voice commands and accurately deliver the result or execute a function as demanded by the user.

Voice Assistants began to develop in 2011 with the intro of Siri. No one could have predicted that this innovation would become an operator for tech innovation. In 2021 every 1 in 4 US adults own a smart speaker like Alexa or Google Assistant.

Voice assistants can be integrated into numerous devices like mobile phones, computers, smart speakers, cars, and more. Some popular voice assistants that rule the world are Google Assistant, Siri, Cortana, and Alexa.

However, there are several open-source voice assistants available on the internet you might be interested in. If you are a developer, student, or user searching for the best open-source voice assistant, you are at the right place. Here we have curated a list of the Best open source voice assistants that you should try.

7 Best Open Source Voice Assistants

1. Leon - Open source voice assistant



Leon is an open-source voice assistant that allows users to interact with their devices using natural language. It is built using the Python programming language and utilizes various open-source libraries and frameworks such as TensorFlow and Kaldi for speech recognition and natural language processing. Leon can be integrated with other devices and services to perform tasks such as playing music, setting reminders, and controlling smart home devices. It can also be customized and trained to perform specific tasks based on the needs of the user.

Additionally, Leon also supports text-to-speech, so it can read out responses to the user. It also has support for multiple languages, allowing users to interact with it in their preferred language. The source code for Leon is available on GitHub, allowing developers to contribute to the project and make their own modifications. The community of developers working on Leon is constantly updating and improving the software, making it more efficient and user-friendly. Some of the other features of Leon include hotword detection, alarm clock, timer, weather forecast, news, and much more. The platform is also built to be flexible, so you can easily add any feature you like by writing a simple plugin.

2. Mycroft - Free open-source voice assistant


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Mycroft is an open-source voice assistant that allows users to interact with their devices using natural language. It is built using the Python programming language and utilizes various open-source libraries and frameworks such as PocketSphinx for speech recognition and natural language processing. Mycroft can be integrated with other devices and services to perform tasks such as playing music, setting reminders, and controlling smart home devices. It can also be customized and trained to perform specific tasks based on the needs of the user.

Mycroft is unique in that it runs on a wide range of devices, including personal computers, smartphones, and embedded devices. It's also designed to be easily extensible through Mycroft Skills, which are small pieces of code that allow developers to add new functionality to Mycroft. The Mycroft platform is also built to be open and decentralized, allowing anyone to contribute to the development of the software, and build their own custom version of Mycroft. Additionally, Mycroft also supports text-to-speech, so it can read out responses to the user. It also has support for multiple languages, allowing users to interact with it in their preferred language.

3. Rhasspy - Offline open-source voice assistant


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Rhasspy Rhasspy is an offline, open-source voice assistant that allows users to interact with their devices using natural language. It is built using the Python programming language and utilizes various open-source libraries and frameworks such as Kaldi for speech recognition and natural language processing. Unlike other voice assistants that require an internet connection to work, Rhasspy can run entirely on a local device, making it more secure and private. It works well with Home Assistant, Hass.io, and Node-RED.

Rhasspy can be integrated with other devices and services to perform tasks such as playing music, setting reminders, and controlling smart home devices. It can also be customized and trained to perform specific tasks based on the needs of the user. The Rhasspy platform is also built to be highly customizable, allowing users to easily add new functionality and integrate it with different devices and services. The source code for Rhasspy is available on GitHub, allowing developers to contribute to the project and make their own modifications.

One of the main advantages of Rhasspy is that it can run on low-power devices such as Raspberry Pi, making it easy to set up a voice-controlled smart home or personal assistant at a low cost. It also supports multiple languages, allowing users to interact with it in their preferred language. Additionally, Rhasspy supports text-to-speech, so it can read out responses to the user.

4. Jasper - Open-source platform for developing voice controlled assistant



Jasper is an open-source platform for building voice-controlled applications. It allows developers to create custom voice commands and automate tasks on their computers using natural language. Jasper is built on Python and uses various APIs and libraries such as the Google Speech Recognition API, the Wit.ai natural language processing platform, and the pyttsx text-to-speech engine.

Jasper can be used to control various aspects of a computer, such as opening and closing programs, playing music, searching the internet, and setting reminders. It can also integrate with other devices and services, such as controlling smart home appliances or sending text messages. Users can also train Jasper to understand new commands and phrases. Additionally, Jasper can listen for hot words or wake words, allowing it to be always listening for a command.

It's a powerful tool for developers, makers, and DIY enthusiasts to build their own personal assistants and automate different tasks. It's also a great way for non-developers to learn about natural language processing, text-to-speech, and speech recognition.


5. Open Assistant - Personal open source voice assistant


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Open Assistant Open Assistant is an open-source personal assistant project available on GitHub. It is an AI-powered personal assistant that can perform various tasks such as playing music, setting reminders, controlling smart home devices, and providing information. It uses natural language processing and machine learning to understand and respond to user commands. The project is written in Python and uses several libraries and APIs such as the Google Speech Recognition API, the NLTK natural language processing library, and the OpenWeatherMap API.

It is a community-driven project that relies on contributions and feedback from developers and users to improve its capabilities. The Open Assistant project on GitHub provides a flexible and customizable platform for developers and enthusiasts to build their own personal assistants, and for non-developers to learn about AI and natural language processing.

6. LinTo - Ai based open source voice assistant


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LinTO LinTo is an open-source AI-based personal assistant project. It is designed to be a smart and simple assistant that can perform various tasks such as playing music, controlling smart home devices, setting reminders, and providing information. The project is based on the concept of natural language understanding, where users can interact with LinTo using simple and natural phrases.

It uses a combination of machine learning, natural language processing, and computer vision to understand and respond to user commands. It is written in Python and uses several libraries and APIs such as the Google Speech Recognition API, the NLTK natural language processing library, and the OpenWeatherMap API. It also uses a custom wake-word engine to listen for hot words and triggers.

LinTo is an open-source project, which means the source code is available for anyone to view, modify, and contribute to. It's a powerful tool for developers and makers to build their own voice assistants and automate different tasks. It also provides a great opportunity for non-developers to learn about natural language processing, computer vision, and machine learning.

7. Aimybox - Ready to use an open-source voice assistant

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Aimybox is a platform that allows developers to create voice-controlled applications and virtual assistants. It is based on the concept of "conversational AI" and provides a set of tools and libraries to help developers build natural language understanding and generation capabilities into their applications.

It provides an easy-to-use SDK that can be integrated into various platforms such as mobile, web, and smart home devices. It supports multiple languages, and it uses advanced natural language processing techniques to understand and respond to user commands. Additionally, Aimybox allows developers to customize the dialogue flow, and it supports integration with various services such as Google Assistant, Amazon Alexa, and Microsoft Cortana.

It is a commercial platform but it also offers a free version for hobby and non-commercial projects. Aimybox is designed to help developers bring natural language-based interactions to a wide range of applications and devices, including chatbots, smart speakers, mobile apps, and more.

Conclusion:

Open-source voice assistants are a powerful tool that can help organizations and individual users alike revolutionize the way they communicate with their technology. They provide an enhanced and flexible experience, allowing users to customize their assistants to better suit their individual needs. The ability to easily modify, develop and customize the code of open-source voice assistants allows users to build the perfect assistant for their applications. By taking advantage of modern voice technologies, open-source voice assistants continue to change the way people interact with their technology for the better.

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