Top 8 Open-Source Text to Speech Models [Latest List]

Text to speech conversion isn't now limited to online platforms/tools. This sector of AI has widespread roots in other technology sectors, too. It is used widely in different apps/software to help users perform their tasks quickly.

In this regard, the most integral part is open-source text-to-speech model availability. This model allows the developers to use the source code of this tool as per their requirements. It is right to say that you should find some useful open-source text-to-speech converters.

If you don't know any of those tools, this blog is for you. In our list, we have listed a few text to speech for Mac tools. Let's read about them!

Top 8 Open-Source Text-to-Speech Models

Choosing an open-source speech recognition model is the most important task to move ahead for using it in your project. Without picking the right source code for president AI voice generators, you won't be able to get effective results.

It is because you may neither be able to understand its deep learning code nor get an effective outcome. So, you may struggle to find the right open-source text to speech model. But we have done this for you after comprehensive research and listed a few of the best of them.

1. eSpeak

It is one of the finest TikTok text to speech open-source models. The best feature of this model is it supports multiple languages and allows the professionals to modify the list. You can use it as it is while dealing with different popular languages, including English, Russian, and others.

This compact open-source text to speech model can be employed on Linux and Windows. It makes this model useful for a prominent proportion of users. Due to its multi-lingual working with different OS compatibility, it can be used while developing different projects.

Features:

• It is a compact open-source voice generation model.
• One can easily use it on their laptops because of its lightweight.
• You can use it through the command line or API.
• It supports two synthesizers as its built-in working modes.

2. MaryTTS

Another open-source model instead of standard text to speech for YouTube tools is MaryTTS. It is one of the advanced models available for effective results. Using this, you can employ multiple tasks processing in parallel windows.

It means you don't have to wait for the task to end to get started with the next one. Additionally, its programming has been done with flexible output, making it perfect for Java model usage. So you can easily use it for your project or integrate it with other software.

Features:

• It has a simple and easy-to-use interface with fast processing.
• This open-source TTS is based on XML structures, making it transparent.
• You can generate text in different languages like English, Italian, etc.
• The model allows the professionals to complete the task quickly with parallel processing availability.

3. Coqui TTS

Some open-source models to convert text are not useful because of ineffective community support. To get an effective community with instant support, you should try Coqui TTS. It is an advanced program designed by Coqui with the latest transforming model.

You can get high-quality speech for your text on Windows, Linux, and MacOS. This Cantonese text to speech model is based on a Python interface that restricts only expert developers get familiarity with it.

Features:

• It is based on Python with a user-friendly interface.
• This open-source model has extensive documentation available for the developer's use.
• One can get an advantage from its advanced transforming model to synthesize speech.
• It has an effective community ready to serve the developers with their suggestions.

4. Mozilla TTS

If you want a real-time preview of your speech output, you should pick Mozilla TTS. It is one of the most effective open-source text-to-speech models available on the internet. The best thing about this model is it supports traditional and advanced signal processing.

As a developer, you can employ this model with a real-time preview of the output in your application. So, you won't find any mistakes when you can eliminate them during your programming phase.

Features:

• The model is based on accelerating the GPU processing for quick results.
• Users can get instant output as a real-time preview of their code.
• You will get high-quality output from this text-to-speech model.
• A professional can easily modify it with little familiarity with Python.

5. OpenTTS

It would be right to say that OpenTTS is the most effective open-source model for this conversion. The reason is this model supports multiple languages with libraries to use them in the concerned project.

You can get output in different languages, including French, English, German, and Swedish. It means you can use it while designing the project for people from any region. Another benefit of this compact open-source model is it is available for free. So, you don't need to worry about the rights of the code and use it wherever you want.

Features:

• The model supports multi-lingual processing.
• A professional can get assistance from its alternative libraries.
• It is available for free, making it simple for developers to use it for any project.
• Anyone with programming understanding can use it because of its simple interface.

6. Mycroft Mimic

As the name shows, this open-source text-to-speech model enables you to get a mimic sound for your text. It is designed with such an interface that allows the developers to generate custom voices as per their project's requirements.

In simple words, you can design a real-time working tool like FakeYou text to speech converter using this model. It can be used as a standalone text to speech converter instead of involving other frameworks for the complete programming.

Features:

• Mycroft has designed this open-source model with advanced programming.
• A professional can design a custom voice for their text.
• No need to understand and use other frameworks for TTS conversion.

7. Kaldi

One of the most useful open-source TTS converting models is Kaldi. It has an effective toolkit, making speech recognition effective. The code is written in C++, making it suitable for every programmer as this is the basic language.

A major benefit of this open-source model is the cross-platform working. You can use it on your device with Windows, Linux and MacOS. Moreover, it can be used on Android devices, making users comfortable using it as they don't have to pick a heavy-duty device.

Features:

• This source code can be downloaded by Github, which is accessible to everyone.
• You can understand it easily because of its basic programming.
• It supports cross-platform working with a reliable assembly tool in Android.

8. Julius

Another lightweight open-source model to convert text or speech recognition is Julius. It has an extensive vocabulary, making its conversion accurate and smooth. The code is developed for researchers and developers trying to learn this technology.

The developers have employed different technologies to design this source code and make it suitable for this sector of professionals. Its LVCSR property makes it suitable for speech recognition in different languages.

Features:

• It includes a large vocabulary, making speech recognition accurate.
• A learner/researcher can use it as decoding software to understand the code.
• The model is based on both simple and complex interfaces.

Bonus: Do TTS with EaseUS VoiceOver

Sometimes, you may want to get quick results from text-to-speech conversion instead of dealing with open-source models. If you are struggling with this process, we recommend using EaseUS VoiceOver- an AI voiceover generator.

It is one of the most advanced tools available with online working mode. You don't need to download it or find a heavy device for its smooth programming. It allows the users to use it for free instead of restricting the conversion like Amazon Polly text-to-speech converter does.

Features:

• This TTS is available for free with no registration or login requirements.
• You can download a subtitle file with your generated voice clip to use it online.
• It has a simple interface, making the conversion simple and fast.
• You can utilize different features to adjust the voice parameters to make it suitable for your content.

With such features, it is good to go with this converter if you are not a developer. This converter will help you get speech for your text and give your words a unique voice. Click the button below to access it.

EaseUS VoiceOverGet Free Text to Speech Now

To Conclude

In this guide, we have listed a few of the most effective open-source text-to-speech models. As a developer, you can find the required model while designing any app/software. We hope you have found this list useful and are ready to pick the required model from them.

FAQs on Open-Source Text to Speech

We hope you have cleared all your doubts by reading this blog. But if you still have questions, you can find them here with quick answers.

1. What is the best open-source speech to text?

As per our research, the best open-source text to speech model, is Kaldi because of its cross-platform working and effective conversion.

2. Is Google TTS open source?

Yes, Google TTS, or voice builder, is an open-source model that professionals can use.

3. Is there a free text to speech API?

OpenTTS offers a free text to speech API or source code for commercial purposes without copyright issues.

4. Is Meta open-source TTS?

Yes, Meta open-source is TTS, using which you can get a voice for text in different languages with automatic speech recognition.

This blog about open-source TTS models has been written after comprehensive research. We hope you have found it useful. Please share it on social media for the benefit of your friends, colleagues, and other developers.