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Best Open-Source AI Text-To-Speech Platforms

Andrew Murray
Andrew Murray Originally published Sep 27, 24, updated Oct 09, 24
open-source ai text-to-speech

Ready to unlock another chapter of the unstoppable development of AI? Introduce yourself to all the open-source AI text-to-speech possibilities and learn how to break down language barriers with the best open-source text-to-speech platforms.

Optimize your communication strategy with the help of text-to-speech AI open-source and unlock seamless multilingual interactions. Whether you need a female voice generator text-to-speech as your virtual assistant or want to learn a new language with the help of AI, you are at the right place.

Stay with us and discover the best open-source TTS platforms, making revolutionary progress and expanding the reach of digital content to a broader audience.

In this article

What Are Open Source AI Text-To-Speech Platforms?

Open-source AI text-to-speech (TTS) platforms are tools specialized to convert written text into spoken words with the help of artificial intelligence. These TTS platforms with machine learning models and specialized algorithms are trained to produce natural-sounding speech from text in various languages and voices.

The fact that they are open source is just a plus because this way, developers and researchers can make them better and more useful.

Applications of Open-Source Text-To-Speech AI

Open-source text-to-speech AI platforms are expanding unstoppably with diverse applications across many fields. Here, we listed all the potential uses we could think of:

  • Language learning with interactive learning and pronunciation practice.
  • Educational tool for students with visual and reading disabilities (such as dyslexia).
  • Interactive voice response or virtual assistant in customer service and call centers.
  • Character voices, dialogues, or narrations in gaming, animations, and films.
  • Converting written content into audiobooks and generating voiceovers for podcasts.
  • Spoken versions of articles in news and media.
  • Converting healthcare records, information, and instructions for patients with reading dysfunctions.
  • TTS for smart devices like smart speakers and navigation systems.
  • Public announcements on airports, train stations, or public buildings.
  • TTS for e-government and public services on their website for people with disabilities.

Understanding How Open-Source AI Text-To-Speech Works

how open-source ai text-to-speech works

Open source AI text-to-speech process happens with the help of advanced algorithms and models, and here we tried to simplify it for better understanding:

  1. Open-source AI TTS systems analyze the text by identifying the elements like words and punctuation.
  2. Based on language rules, text is separated into the smallest sound units to show how words are pronounced.
  3. The TTS system incorporates rhythm, stress, and intonation of speech and adjusts pitch, speed, and emphasis to make the speech sound natural and expressive.
  4. In the end, the creation of speech from text or speech synthesis happens in three different ways:
  5. Concatenative Synthesis that pieces together pre-recorded speech clips.
  6. Formant Synthesis that uses models to simulate voice sounds.
  7. Neural Network-Based Synthesis that learns to produce natural-sounding speech.

The results are delivered as audio with the open-source option to customize voice and accents.

filmora
Wondershare Filmora
An more affordable and easier AI Text-to-Speech tool for all-level's video creators.
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Filmora TTS feature provides 40+ types of voices, supports 33 langueages, and lets you clone your own voice in the videos. If you don't prepare the subtitles, just type your demands, and this tool will generate by itself!

Best Open-Source AI Text-To-Speech Solutions

best open-source ai text-to-speech solutions

Open-source AI text-to-speech platforms offer various features, from high-quality, lifelike voices to flexible systems that can be adjusted to specific needs. In the next paragraphs, we explored the best open-source solutions to help you find your perfect tool.

eSpeak

espeak interface

eSpeak is a great open-source option for anyone who wants to generate human-like speech. It’s available in several languages, with versions for Linux and Windows. This TTS platform uses a formant synthesis method, allowing many languages to be provided in small sizes.

Key features:

  • Supports numerous languages and accents with voice adjustment.
  • Translates text into phoneme codes and can be used as a front-end for another engine.
  • Text-based interface for easy integration.
Pros
  • Languages are provided in small sizes.
  • Language support for various languages.
  • Easy to integrate into other applications.
Cons
  • Voices are often described as robotic and less natural.
  • Limited advanced features and voice customization.

Unreal Speech

unreal speech interface

Unreal Speech is an open-source TTS designed to provide high-quality speech synthesis. This advanced software stands out for its human-like output and amazing speed for converting text, even for extensive texts.

Key features:

  • High-quality, natural-sounding voices with different types of content, such as fiction and non-fiction.
  • Capable of handling high volumes, processing thousands of pages per hour.
  • Supports various languages and dialects.
Pros
  • Cost efficiency.
  • Fast performance.
  • Easy to use.
  • High-quality output perfect for professional use.
  • Flexible and customizable.
Cons
  • Potentially complex setup and integration.
  • It may need a lot of computing power.

Mozilla TTS

mozilla tts tool

Mozilla TTS is a powerful tool developed by Mozilla, and it’s a part of their open-source project. It is perfect as a virtual assistant and for content creation, designed to provide high-quality outputs with a strong open-source community that helps the everyday progress of this software.

Key features:

  • High-quality, natural-sounding speech.
  • Offers support for multiple languages and accents.
  • Allows users to train and adapt TTS models to create customized voices and pronunciations.
  • Easy integration and customization.
Pros
  • Natural-sounding voices.
  • Strong community support.
  • Customizable and adaptable for various applications.
  • Regular updates
Cons
  • Setup and configuration can be complex for beginners.
  • Resource Intensive

Coqui TTS

coqui tts logo

Coqui TTS evolved from Mozilla’s TTS project, and it’s named after the Coquí frog, a symbol of Puerto Rican culture. Perfect as a virtual assistant or accessibility tool for those with reading difficulties, Coquie offers high-quality, natural-sounding speech results.

This open-source text-to-speech software is no longer actively maintained but is accessible on GitHub and HuggingFace. Coqui is still available as a training pre-training model, so developers can incorporate this technology into their applications with ease.

Key features:

  • Support multiple languages and accents.
  • Provides the ability to train custom voice models and fine-tune existing ones.
  • Allowing easy integration with different applications.
Pros
  • High-quality output.
  • Extensive options for customizing and training voice models.
Cons
  • Resource intensive.
  • The initial setup may be complicated.

MaryTTS

marytts logo

MarryTTS is an open-source, multilingual text-to-speech platform fully developed in Java. With its open-source nature, this software allows mutual communication and collaboration among users and developers, which results in constant improvement. It’s perfect for research and commercial use.

Key features:

  • Multilingual support with multiple languages and voices.
  • Easy integration into Java applications.
  • Flexible design with extensive customization.
Pros
  • Strong community support.
  • High-quality, natural-sounding results.
  • Free and open-source.
Cons
  • Initial setup and integration may be complex.
  • Limited support for advanced features.

Uberduck

uberduck logo

Ubedruck is an open-source text-to-speech platform specializing in AI vocals. Although it can generate normal speech, the main field of action for this TTS software is the transformation of the text into singing or rapping.

Key features:

  • Various voice models, including expressive and character-based options.
  • Supports multiple languages and accents.
  • Custom voice creation capabilities, including personalized voice solutions.
Pros
  • High-quality, natural-sounding speech output.
  • User-friendly interface with easy integration.
  • Versatile voice options.
Cons
  • Limited free options.
  • Advanced skill set needed for more complex customizations.
  • Dependency on internet connectivity for cloud-based services.

Festival Speech Synthesis System

festival speech synthesis system

The Festival speech synthesis system is a text-to-sound framework developed by the Centre for Speech Technology Research at the University of Edinburgh. It is mostly used for academic research but is very useful for practical applications.

Festival is a multilingual synthesizer with extensive voice customization and the possibility to change the default language anytime during the session.

Key features:

  • Supports multiple languages and voice models.
  • Open-source platform with extensive customization options.
  • Includes tools for the development and deployment of TTS systems.
Pros
  • Free and open-source, with an academic background, encourages research and innovation.
  • Extremely customizable and extensible for diverse applications.
  • Strong academic and community support.
Cons
  • Requires technical skills for setup and customization.
  • It may lack some advanced features for commercial use.
  • Complex integration for modern, web-based applications.

Tacotron 2

tacotron 2 frames

Tacotron 2 is an advanced text-to-speech platform developed by Google. It is specialized to produce natural, high-quality speech from text. Thanks to attention mechanisms and sequence-to-sequence models, this Google tool’s output is extremely clear and expressive.

Key features:

  • High-quality results with natural-sounding speech.
  • Utilizes sequence-to-sequence learning with attention mechanisms.
  • Capable of producing expressive and contextually appropriate speech.
Pros
  • Advanced techniques used for high-quality, natural-sounding, and expressive results.
  • Combines Tacotron and WaveNet models for high-quality performance.
Cons
  • Technically demanding.
  • Complex architecture is challenging for implementations.
  • Dependent on high-quality data for voice quality.

Bonus: Best Closed Source Text-To-Speech Platform - Filmora

filmora text-to-speech

You may not think of video editors when thinking about text-to-speech platforms, but Wondershare Filmora has recently expanded its offer with an innovative TTS approach. With Filmora's extreme ease of use and constant innovations, its text-to-speech feature must awaken curiosity since all open-source TTS platforms can be complex.

Filmora’s TTS feature is perfect for content creators who want quick, high-quality voiceovers without special equipment. With a few clicks, you can turn text into lifelike speech without some complex software and with professional results. This Wondershare program simplifies the whole process by allowing you to choose voice or clone yours.

With two smart generation modes, in Filmora, you can either copy the text you want to give voice to or use the AI Copywriting feature to generate text according to the topic. Also, you get to choose among 33 languages with constant additions and improvements.

filmora text-to-speech segmentation

And there is no need for trims and edits so that your text can fit properly in alignment with the video. Filmora does all that work for you automatically. As you can see, Filmora is designed to ensure that all users with a basic skill set can create and achieve professional results.

Overall, Filmora's text-to-speech feature is the new best friend of your content, and it helps you to find out how Wondershare will enrich an already amazing set of AI tools.

Conclusion

As we explored the best open-source AI text-to-speech platforms, we learned that the open-source concept is extremely useful but complex. From robotic results with eSpeak to the melodious outputs with Uberduck, these diverse platforms are game-changing features for everyday life.

Whether you need a tool to use as a virtual assistant or you want a tool to give your book a voice, TTS possibilities are enormous and in constant development.

We are looking for the continuous evolution of these platforms, but with their complexity, we hope that simplicity will be an accent for future development. Until then, the Filmora AI text-to-speech tool is there for professional results achieved with ease.

Andrew Murray
Andrew Murray Oct 09, 24
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