Best Open-Source Text to Speech Models

How do you start your day? For me, it starts with asking my digital assistant, Siri, to read news or the weather forecast while I prepare breakfast. Sometimes I ask ChatGPT for breakfast recipes. Text-to-speech and speech-to-text technologies power these everyday conveniences.

AI has become deeply integrated into our daily lives, and understanding and utilizing these tools is no longer just for tech professionals; it’s essential for everyone. WeCloudData is a leading data and AI training academy. Our Goal is to educate everyone to learn about AI, its usage, and how to run your first model till you become a pro at this game.

If you are interested in building voice-enabled applications, exploring open-source text-to-speech and speech-to-text open-source software is a powerful and cost-effective starting point. This blog will walk you through the best open-source text to speech and speech-to-text models available in 2025, making it easier than ever to get started with voice AI. Let’s start with WeCloudData. Happy Learning!

Understanding Text-to-Speech (TTS)

The field of text-to-speech (TTS) is evolving quickly, with new open-source, cutting-edge models. As we move into 2025, developers and businesses alike are seeking powerful, flexible, and cost-effective TTS options.

• Text-to-Speech (TTS): Text-to-speech (TTS) converts written text into spoken words. It uses Natural Language Processing to analyze and then uses a speech synthesizer to generate human-like speech. TTS is uses range in applications like virtual assistants, audiobooks, and accessibility tools.
• Speech-to-Text (STT): STT converts spoken language into written form (text), enabling features like real-time captioning, voice commands, and transcription services.

Top Open-Source Text-to-Speech Models

Open-source Text-to-Speech (TTS) solutions are flexible, customizable, and cost-effective, which makes them perfect for beginners and small-scale projects. They are developed by a community of developers and released under an open-source license, allowing anyone to use, modify, and distribute the software freely.

Let’s explore the world of the Best speech-to-text open source models.

XTTS-v2

XTTS is one of the most widely used models for voice generation. XTTS-v2 can clone voices into several languages with only a brief 6-second audio sample. It is a desirable option for voice cloning and multilingual speech production because of its efficiency. XTTS is one of the most downloaded TTS models on Hugging Face.

Key Features

• Voice cloning with minimal input
• Multi-language support
• Emotion and style transfer
• Low-latency performance

Non-commercial usage only: XTTS-v2 can only be used for non-commercial purposes because it is licensed under the Coqui Public Model License. Unless particular licensing terms are established, this restricts its use in commercial products.

MaryTTS (Multimodal Interaction Architecture)

MaryTTS is a versatile, modular design for developing TTS systems that incorporates a voice-building tool to create new voices from audio recordings. It is open-source text-to-speech software developed by the German Research Center for Artificial Intelligence (DFKI), known for its modularity, multilingual capabilities, and strong emphasis on customization.

Key Features

• Multilingual Support
• Modular Design
• Voice Building Tools
• Real-Time Synthesis
• Written in Java.
• Comes with built-in voices

MaryTTS is a good choice for beginners who want to experiment with TTS models, build their voices, or develop multilingual speech applications.

ChatTTS

ChatTTS was released in 2024 by OpenAI, designed specifically for conversational applications, like dialogue tasks in LLM, making it ideal for virtual assistants, social bots, and interactive applications.

Key Features

• Conversational Tone
• Multi-Speaker Synthesis
• Fast Inference
• Voice Conditioning
• Includes pre-trained weights and voice prompts.
• Supports audio generation from plain text using simple Python scripts.

Coqui TTS

This innovative, open-source text-to-speech library was born out of Mozilla’s initial TTS effort. Because of its emphasis on neural speech synthesis, realistic voice quality, and user-friendliness for both developers and researchers, Coqui has gained a lot of attention since its launch.

Key Features

• Supports multiple architectures:
• Pre-trained models
• Multi-speaker support
• Voice cloning
• End-to-end training
• Web UI

DeepSpeech

Developed by Mozilla, DeepSpeech is an open-source STT engine based on Baidu’s Deep Speech research paper. It utilizes deep learning to achieve high accuracy.

Key Features

• Simplified API for easy integration.
• Pre-trained models are available.
• Active community support.

Applications of TTS Engines

Here are some practical uses for the TTS engines:

• Virtual assistants: TTS engines are the backbone of smart assistants like Siri, Alexa, and Google Assistant.
• Video and image voiceover: TTS is widely used to generate voiceovers for social media videos, explainer content, and image-to-audio applications.
• Automatic voice responses with AI voice: Companies use TTS to power automated customer support lines, IVR systems, and AI chatbots.
• E-Learning and Educational Software: TTS brings life to online learning by converting written lessons into engaging spoken content.
• Game Development and Interactive Media: TTS is used by game developers to create conversation, narration, and character voices in real time, particularly in independent games or interactive story platforms where it is impractical to record unique audio for each line.

Choosing the Right Model

Consider the following points when choosing an open-source TTS or STT model:

• Language Support: Verify that the model is compatible with the languages that your application needs.
• Resource Requirements: Determine how much processing power is required to run the model efficiently.
• Customization Requirements: Determine whether the model needs any changes for particular domains, voices, or accents.
• Community and Documentation: Opt for models with active communities and comprehensive documentation to facilitate learning and troubleshooting.

As text-to-speech and speech-to-text technologies continue to evolve, their presence in our daily lives will only grow. Whether you’re building a smart assistant, adding voiceovers to your content, or enhancing accessibility in your app, choosing the best open-source text-to-speech tools can significantly accelerate development while keeping costs low.

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