MARS5-TTS Introduction | New Open Source TTS Model 2024

We are in an era of unprecedented growth in AI advancements across different fields. One such area where AI is driving innovation is more realistic text-to-speech conversions. Many TTS models can now read digital text aloud realistically. A new top-notch TTS model called MARS5-TTS, developed by CAMB.AI, has recently entered the market. Stick with this guide as we uncover all about this new open-source TTS model.

Part 1: MARS5-TTS Overview

MARS5-TTS is a new open-source text-to-speech model to convert text to voice in 140+ languages with just 2-3s of audio reference. It can be used in scenes such as anime dubbing, movie dialogues, and sports commentary. Here's everything about MARS5-TTS you need to know about:

From the information on the Internet, we can know that the MARS5 model works like this. The AR Transformer model takes the input text and reference audio, then the DDPM (denoising diffusion probability model) refines these preliminary features, and finally the vocoder converts the output of the DDPM into the final audio content.

What can MARS5-TTS do?

MARS5-TTS is a text-to-speech model for voice cloning with prosodic control. It offers two inference modes:

• Shallow Clone: A fast voice cloning mode that does not require the reference audio's transcript.

• Deep Clone: A slower but high-quality voice cloning mode that requires the reference audio transcript.

MARS5-TTS can generate text-to-speech with just 2-3 seconds of audio input and a text snippet. It accepts capitalization and punctuation with text input for prosodic control.

Is MARS5-TTS free?

Yes, MARS5-TTS is a fully open-source and commercially usable TTS model. You can easily access the model from GitHub or Hugging Face.

Pros and Cons of MARS5-TTS

Part 2: MARS5-TTS Alternatives: 4 Open-Source Text-to-Speech Models

Other than MARS5-TTS, there are a few other text-to-speech models you can also use. Below, we have shortlisted 4 open-source TTS models:

1. OpenTTS

OpenTTS provides centralized access to various open-source TTS systems and voices for a wide range of languages. It supports 20+ languages and a subset of the Speech Synthesis Markup Language (SSML), which helps you use multiple TTS systems and voices in the same SSML document. Some of the supported TTS systems include nanoTTS, Larynx, MaryTTS, Glow-Speak, and more. You can use it through Docker and access its instructions from its GitHub page.

2. Mozilla TTS

Mozilla TTS is a deep learning-based text-to-speech system that utilizes two deep neural networks. The first network, "text2feat", computes acoustic features from the provided text. The second network, "vocoder", generates the voice from the computed acoustic features. It supports multiple languages and emphasizes speed, quality, and ease of training for the best experience.

3. Coqui TTS

Coqui TTS is a deep-learning toolkit for TTS that is battle-tested in research and production. It acts as a library for advanced text-to-speech generation. It supports a wide range of TTS models, like Tacotron, Glow-TTS, and others, along with multiple vocoder models, like MelGAN, GAN-TTS, WaveRNN, and more. It supports fast and efficient model training to facilitate various applications, such as virtual assistants, etc. It can speak multiple languages and is designed to offer flexibility to users for their TTS needs.

4. Mary TTS

Mary TTS is another open-source, multilingual TTS system. It is a client-server system written in pure Java and can run on various platforms. It provides a speech synthesis interface directly in your web browser. It supports English, Russian, Turkish, Swedish, Italian, Telugu, French, German, and Luxembourgish languages. It also provides toolkits for adding new languages, HMM-based synthesis voices, and building unit selection.

Part 3: Recommended AI Text to-Speech Tool - Edimakor

All the above text-to-speech (TTS) models, including MARS5-TTS, require a bit of a learning curve. So, what if we tell you that you can perform AI text-to-speech conversion with a simple click-based interface and that too with 400+ AI voices? This is exactly what you can get with Edimakor.

HitPaw Edimakor is a leading AI video editor that provides a complete video editing suite. Among its various AI-powered video editing features, it also offers an innovative AI text to speech converter to convert your text to realistic, studio-quality voiceovers. All you need to do is enter the text, specify the language/voice/style, and get the audio.

All the above features of the Edimakor text-to-speech converter are accessible in the unified video editor. Follow the below steps to use Edimakor TTS:

• Step 1: Install and launch Edimakor on your computer (Windows/Mac) and select "Text to speech" from the home screen.

  

• Step 2: Enter the text in the left panel. From the right panel, you can adjust the TTS setting. First, you should choose the AI voice and language.

  

• Step 3: Pick the voice emotion to generate a realistic voice according to the desired emotion.

  

• Step 4: Once you are satisfied with the TTS quality, click "Generate". After the audio is generated, you can click "Open folder" to access the audio file or click "Add to Timeline" to add the audio to the timeline.

  

• Step 5: Alternatively, you can convert text to speech and add AI voiceover for your video .

  

That's it! This way, you can use Edimakor to convert text to speech and integrate it into your videos. Feel amazed? Try Edimakor right now and get the best AI text-to-speech effortlessly.

Conclusion

MARS5-TTS is the advanced open-source text-to-speech model. Its two-stage AR-NAR architecture, 140+ language support, and top-notch handling of complex prosodic elements make it the ideal TTS model for generating high-quality voice clones. However, if you want a more easy-to-use AI tool to convert text to speech, then Edimakor is a much preferred choice. Its click-based interface, 400+ AI voices, and 50+ languages make it ideal to easily convert text to speech and integrate it into videos. Choose the right TTS model/tool and begin voice generating now.