Get crystal-clear, human-like voices in seconds with Melo-TTS! A new Open-Source Local TTS

The AI Art
28 Feb 202412:43

TLDRThe video introduces Mellow TTS, an open-source text-to-speech model based on Co AI, which offers high-quality speech synthesis at impressive speeds. The model can be used for real-time conversational speech and supports multilingual capabilities with plans for voice training and cloning in future updates. The video demonstrates the model's speed and quality through a live hugging face page interaction and discusses the installation process using Pinocchio, highlighting the storage requirements and potential for extensive AI tool usage.

Takeaways

  • 📌 The video discusses a new text-to-speech model called Mellow TTS, based on the Co AI engine.
  • 🏥 The creator had medical issues but is back to regularly upload videos.
  • 🎙️ Mellow TTS can produce high-quality speech that competes with production-level text-to-speech engines.
  • 🚀 Notable for its speed, Mellow TTS can generate speech in real-time, suitable for conversational use.
  • 🌐 The model is multilingual and currently offers a limited selection of voices.
  • 🔧 Future updates to Mellow TTS will include the ability to train custom voices and voice cloning.
  • 🎛️ Users can experience Mellow TTS on Hugging Face with just a web browser and speakers.
  • 📦 Mellow TTS is open source and can be installed on personal machines via Pinocchio.
  • 💾 Installation of Mellow TTS and related AI tools requires significant storage space due to large downloaded files.
  • 📈 The text-to-speech field has seen significant advancements, with Mellow TTS being a promising example.
  • 👍 The video encourages viewers to like, subscribe, and look forward to future content.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the introduction of a new text-to-speech model called Mellow TTS.

  • What is Mellow TTS based on?

    -Mellow TTS is based on a text-to-speech engine called Co AI, which is known for generating high-quality results with proper training.

  • How does the video creator describe the speech quality of Mellow TTS?

    -The video creator describes the speech quality of Mellow TTS as being able to compete with production-level text-to-speech engines, though not quite at the level of 11 Labs.

  • What is one of the key features of Mellow TTS mentioned in the video?

    -One of the key features of Mellow TTS mentioned in the video is the speed at which it generates speech, making it suitable for real-time conversational use.

  • How can users try out Mellow TTS?

    -Users can try out Mellow TTS by visiting the Hugging Face page, where they can run the model without any requirements on their PC, just a web browser and speakers to hear the voices.

  • What future developments are planned for Mellow TTS?

    -Future developments for Mellow TTS include the ability to train your own voices and voice cloning.

  • How long does it take for Mellow TTS to generate a half-minute of speech?

    -It takes Mellow TTS approximately 1.4 seconds to generate a half-minute of speech.

  • What is the process for installing Mellow TTS locally on a user's machine?

    -The process for installing Mellow TTS locally involves downloading Pinocchio, choosing the preferred operating system, extracting the downloaded files, and following the installation instructions provided.

  • How much space does Mellow TTS require for installation?

    -Mellow TTS requires a significant amount of space for installation as it generates an entire Python environment and each model can take up a few gigabytes. It is recommended to install it on a separate drive.

  • What is the creator's final verdict on Mellow TTS?

    -The creator finds Mellow TTS very promising, with high voice quality and fast speech generation, despite not being at the level of 11 Labs.

  • How can users control the speed of the generated speech in Mellow TTS?

    -Users can control the speed of the generated speech in Mellow TTS by adjusting the speed settings before clicking the synthesize button.

Outlines

00:00

🗣️ Introduction to Mellow TTS

The speaker returns after a medical hiatus and introduces a new text-to-speech model called Mellow TTS. They mention that Mellow TTS is based on Co AI, which can produce high-quality speech with proper training. The speaker highlights the speed of Mellow TTS, noting its potential for real-time conversational applications. A demo is suggested, with links provided in the video description for further exploration. The model's current limitations are acknowledged, but its multi-language capabilities and future features like voice training and cloning are discussed.

05:02

💻 Installing Mellow TTS with Pinocchio

The speaker provides a brief tutorial on installing Mellow TTS using Pinocchio, a platform for AI tools. They guide the audience through the download process, emphasizing the simplicity of the installation. The speaker mentions that Pinocchio requires significant storage space due to the large files associated with AI models and suggests installing it on a separate drive. The installation process is described in detail, including the download of required files and the setup of the Mellow TTS environment.

10:03

📣 Testing Mellow TTS and Final Thoughts

The speaker demonstrates the use of the local Mellow TTS installation by generating a short funny story and a longer narrative. They show how to adjust the speech speed and compare the quality to industry standards, acknowledging that while Mellow TTS is promising, it has room for improvement. The video concludes with a call to action for viewers to like and subscribe if they enjoyed the content, and a teaser for future videos.

Mindmap

Keywords

💡Mellow TTS

Mellow TTS is a new text-to-speech model discussed in the video. It is based on a text-to-speech engine called Co AI, which is capable of generating high-quality speech output. The model is noted for its speed, allowing for real-time conversational speech synthesis. In the context of the video, the creator is impressed by Mellow TTS's ability to generate speech quickly and with good voice quality, making it suitable for various applications such as voiceovers and notations.

💡Co AI

Co AI is the underlying text-to-speech engine that powers Mellow TTS. It is a model that can produce high-quality speech output with the proper training. While the video does not go into the technical specifics of Co AI, it is presented as the foundation for the Mellow TTS's capabilities, emphasizing the importance of the engine in delivering the desired speech synthesis results.

💡GitHub

GitHub is a web-based platform used for version control and collaboration in software development. In the video, GitHub is mentioned as the place where the Mellow TTS model is hosted, allowing users to access, download, and contribute to the project. It is a key platform for the open-source nature of the text-to-speech model, enabling community involvement and development.

💡Real-time

Real-time, in the context of the video, refers to the ability of Mellow TTS to generate speech almost instantly as the text is inputted. This feature is highlighted as a significant advantage of the model, as it allows for immediate conversion of text to speech without noticeable delay, making it suitable for applications that require immediate feedback or interaction, such as conversational systems.

💡Multilanguage

Multilanguage refers to the capability of Mellow TTS to generate speech in multiple languages. This feature expands the model's usability to a global audience and allows for the synthesis of speech in various linguistic contexts. The video mentions that Mellow TTS is currently limited to a few voices but plans for future development include more language support and customization.

💡Voice Training

Voice training, as discussed in the video, is the process of creating custom voice models using Mellow TTS. This feature is particularly exciting as it allows users to generate unique voices, potentially including their own, for use in various applications. Voice training expands the personalization options available with text-to-speech technology, making it more versatile and tailored to individual needs.

💡Hugging Face

Hugging Face is an open-source platform that provides a wide range of AI models, including text-to-speech, for users to interact with and utilize. In the video, Hugging Face is used as a demonstration platform where viewers can run the Mellow TTS model without any requirements on their PCs, showcasing the accessibility and ease of use of the technology.

💡Pinocchio

Pinocchio, in the context of the video, is a software that simplifies the installation and management of AI models and tools. It is presented as a user-friendly solution for those who want to explore AI applications like Mellow TTS without the complexity of manual installations. Pinocchio allows users to download and run various AI models, making it easier to experiment with and utilize AI technologies.

💡Open Source

Open source refers to a software or model whose source code is made publicly available, allowing users to access, modify, and distribute it freely. In the video, Mellow TTS is described as an open-source project, which means that the community can contribute to its development, improve it, and use it without licensing restrictions. This attribute is crucial for fostering innovation and collaboration within the AI community.

💡Text-to-Speech Engine

A text-to-speech engine is a software system that converts written text into spoken words through synthesized speech. In the video, Mellow TTS is introduced as a text-to-speech engine that competes with other production-level engines. The engine's primary function is to provide a natural and high-quality speech output from input text, which can be used in various applications, such as accessibility tools, storytelling, and voice assistance.

💡Installation

Installation in the context of the video refers to the process of setting up and preparing software or models for use on a computer. The video provides a walkthrough of installing Mellow TTS and other AI tools using Pinocchio, which involves downloading required files, setting up the environment, and configuring the software. Proper installation is essential for the functionality and performance of the text-to-speech engine and other AI applications.

Highlights

Introduction to a new text to speech model called Mellow TTS.

Mellow TTS is based on a text to speech engine called Co AI.

The model can generate high-quality speech with proper training.

Mellow TTS's speech quality can compete with production-level text to speech engines.

The key feature of Mellow TTS is its fast speech generation, suitable for real-time conversational speech.

Mellow TTS currently supports a handful of voices, with plans for future releases to include training scripts and voice cloning.

A demonstration of the text to speech quality with a sample story.

Instructions on how to access the Hugging Face page to run the model without any requirements.

Mellow TTS can generate speech in different accents, such as British and Hindi.

Mellow TTS is open source and can be installed on your own machine.

A brief guide on how to install Mellow TTS using Pinocchio, including downloading and setup process.

Note on the space requirements for Mellow TTS and recommendation to install on a separate drive.

The process of installing required software like Cuda and Git for Mellow TTS.

Instructions on how to download and install Mellow TTS files using Pinocchio.

The local installation of Mellow TTS allows for faster speech generation after the initial model download.

An example of generating a long text using Mellow TTS and adjusting the speech speed.

The rapid development in the field of text to speech engines and the potential of Mellow TTS.

A closing statement encouraging viewers to like, subscribe, and look forward to the next video.

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