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 Melo-TTS, an open-source local text-to-speech (TTS) model based on Co AI's TTS engine. It offers high-quality speech generation and is impressively fast, making it suitable for real-time conversational speech. The model is currently multilingual with a few voice options, but future updates will allow users to train their own voices and perform voice cloning. The video demonstrates the ease of using Melo-TTS through the Hugging Face platform and provides a step-by-step guide on installing the model locally using Pinocchio. The installation process is straightforward but requires a significant amount of storage space due to the size of the Python environment and AI models. Once installed, Melo-TTS allows users to generate speech from text quickly, showcasing its potential for creating narrations and voice-overs. The video concludes by highlighting the rapid advancements in the field of TTS and encouraging viewers to explore the capabilities of Melo-TTS.

Takeaways

  • 🎤 Melo-TTS is a new open-source local text-to-speech (TTS) model that can generate high-quality, human-like voices quickly.
  • 🚀 Based on Co AI's text-to-speech engines, Melo-TTS is capable of producing results that can compete with production-level TTS engines.
  • 🔍 While not at the level of 11 Labs, which are top in the field, Melo-TTS offers very good voice quality suitable for various applications.
  • ⚡ One of Melo-TTS's key features is its speed, allowing for real-time conversational speech synthesis.
  • 🌐 The model is multilingual, with plans for future releases to include voice training and cloning capabilities.
  • 📈 Users can test the model on the Hugging Face website without any specific PC requirements, just a web browser and speakers.
  • 📦 Melo-TTS can be installed locally on one's machine, providing easy access to its features without relying on an internet connection.
  • 📚 The installation process is straightforward, with a download available for preferred operating systems, including Windows.
  • 💾 Melo-TTS requires a significant amount of storage space due to the size of the downloaded files and the Python environment it generates.
  • 🔧 For those unfamiliar with the installation process, a separate video tutorial could be created for guidance.
  • 🌟 After installation, Melo-TTS allows users to generate long texts and adjust speech parameters such as speed, offering flexibility in usage.

Q & A

  • What is Melo-TTS?

    -Melo-TTS is a new open-source local text-to-speech (TTS) model that can generate high-quality speech from text. It is based on the Co AI TTS engine and is capable of producing results that can compete with some production-level TTS engines.

  • What are some key features of Melo-TTS?

    -One of the key features of Melo-TTS is its speed. It can generate speech so quickly that it can be used for real-time conversational purposes. Additionally, it is multilingual and has plans for future releases to include voice training and cloning capabilities.

  • How does Melo-TTS compare to 11 Labs in terms of speech quality?

    -While Melo-TTS provides very good results, it does not quite reach the level of 11 Labs, which are considered top-tier in the field of speech synthesis. However, Melo-TTS still offers high voice quality suitable for various applications like notations and voiceovers.

  • How fast can Melo-TTS generate speech?

    -Melo-TTS can generate speech incredibly fast. For example, it took only 1.4 seconds to generate a half-minute of speech from a long text.

  • What platforms is Melo-TTS available on?

    -Melo-TTS can be run on the Hugging Face platform through a web browser without any specific requirements on the user's PC, as long as they have speakers to hear the generated voices.

  • How can users try Melo-TTS for themselves?

    -Users can try Melo-TTS by visiting the Hugging Face page where they can input text and click on 'synthesis' to hear the generated speech.

  • Is Melo-TTS open source?

    -Yes, Melo-TTS is open source, which means users can install it on their own machines and even contribute to its development.

  • What is the process of installing Melo-TTS on a local machine?

    -To install Melo-TTS locally, users can download it from the Pinocchio platform, choose their preferred operating system, and follow the installation process which includes extracting files, running the setup, and downloading required packages and models.

  • What are the system requirements for installing Melo-TTS?

    -Melo-TTS requires a significant amount of space for installation as it generates an entire Python environment and downloads model files which can be several gigabytes in size. It is recommended to install it on a separate drive rather than the system hard drive.

  • How does Melo-TTS handle different languages and accents?

    -Melo-TTS is multilingual and can generate speech in various languages and accents. The video transcript demonstrates its capability to produce a British accent and a Hindi accent, with plans for more voices in future releases.

  • What are some potential uses for Melo-TTS?

    -Melo-TTS can be used for creating notations, voiceovers, and other applications where text needs to be converted into human-like speech.

  • Does Melo-TTS require an internet connection to function?

    -While the initial installation and model download may require an internet connection, once the models are downloaded, Melo-TTS can function locally without an internet connection.

Outlines

00:00

📢 Introduction to Mellow TTS

The video begins with the host addressing their audience after a hiatus due to medical issues. They introduce Mellow TTS, a new text-to-speech model based on Co AI, which is capable of generating high-quality speech with proper training. The host emphasizes the speed of Mellow TTS, noting it can be used for real-time conversational speech. They provide a link to the GitHub page and demonstrate the model's capabilities by generating speech from a short story, showcasing its fast synthesis time and the potential for multilingual support and voice customization in the future.

05:02

💻 Installing Mellow TTS with Pinocchio

The host guides viewers on how to install Mellow TTS using Pinocchio, a platform that simplifies the process. They explain that Pinocchio allows users to download and install various AI tools, including Mellow TTS. The installation process is straightforward, involving downloading the Pinocchio software, extracting files, and following the setup prompts. The host warns that the installation requires significant storage space due to the size of the Python environment and model files. They recommend installing Pinocchio on a separate drive and not the system's primary hard drive. After installation, the host demonstrates accessing the local Mellow TTS installation and generating speech from a text input.

10:03

🚀 Mellow TTS Performance and Future

The host discusses the performance of Mellow TTS, noting that while it may not match the quality of industry leaders like 11 Labs, it is still very promising. They demonstrate the model's ability to generate speech from a longer text, adjusting the speed of the speech during the process. The host concludes by expressing optimism about the future of text-to-speech technology and encourages viewers to like and subscribe for more content. They also mention the open-source nature of Mellow TTS, allowing users to install it on their machines for free.

Mindmap

Keywords

💡Melo-TTS

Melo-TTS is an open-source local text-to-speech (TTS) model that generates high-quality, human-like voices quickly. It is based on a TTS engine called Co AI and is capable of producing results that can compete with production-level TTS engines. In the video, Melo-TTS is highlighted for its fast speech generation, making it suitable for real-time conversational applications.

💡Text-to-Speech (TTS)

Text-to-Speech (TTS) refers to the technology that converts written text into audible speech. It is a crucial component in voice synthesis and is used in various applications, from virtual assistants to audiobooks. In the context of the video, TTS is the main theme, with Melo-TTS being a new model that offers fast and high-quality speech generation.

💡Co AI

Co AI is the underlying text-to-speech engine that Melo-TTS is based on. It provides a model for converting text to speech and is capable of generating high-quality results with the proper training. Co AI is mentioned in the video as the foundation for Melo-TTS's performance and capabilities.

💡Real-time conversational speech

Real-time conversational speech refers to the ability of a TTS system to generate speech as fast as natural human conversation, without significant delays. This feature is important for applications where immediate responses are required, such as in interactive voice systems. The video emphasizes Melo-TTS's speed, highlighting its potential use in real-time scenarios.

💡Voice cloning

Voice cloning is the process of creating a synthetic voice that mimics a specific person's voice characteristics. It is an advanced feature of some TTS systems and is mentioned in the video as a future development for Melo-TTS. This capability would allow users to train the system to replicate their own voice or the voice of another individual.

💡Hugging Face

Hugging Face is a company that provides a platform for developers to build, train, and deploy machine learning models. In the video, the Hugging Face page is used to demonstrate Melo-TTS's capabilities, allowing users to input text and hear the generated speech without any installation on their PCs.

💡Multilanguage support

Multilanguage support refers to the ability of a TTS system to generate speech in multiple languages. Melo-TTS is described as being multilanguage-capable, although in its current state, it offers a limited selection of voices. The video script indicates that future releases will expand this feature.

💡Open source

Open source describes software where the source code is made available to the public, allowing anyone to view, use, modify, and distribute the software. Melo-TTS is highlighted as an open-source project in the video, which means it can be freely accessed and contributed to by the community, promoting collaboration and innovation.

💡Pinocchio

Pinocchio, in the context of the video, refers to a software tool or platform that simplifies the installation and management of AI models like Melo-TTS. It is used to demonstrate how users can easily set up and use Melo-TTS on their local machines without extensive technical knowledge.

💡Voice quality

Voice quality refers to the clarity, naturalness, and overall sound of the speech generated by a TTS system. The video discusses Melo-TTS's voice quality, comparing it to industry leaders like 11 Labs. While it may not match the top-tier quality, Melo-TTS is praised for its high voice quality suitable for various applications like voiceovers.

💡Local installation

Local installation means setting up and running software directly on a user's computer rather than through a remote server or cloud service. The video provides a step-by-step guide on how to install Melo-TTS locally, emphasizing the convenience of having a personal TTS system without relying on internet connectivity.

Highlights

Melo-TTS is an open-source local text-to-speech (TTS) model that can generate high-quality results with proper training.

Based on Co AI, a text-to-speech engine, Melo-TTS can compete with production-level TTS engines.

One of the key features of Melo-TTS is its speed, allowing for real-time conversational speech generation.

The model is available for testing on the Hugging Face platform without any PC requirements other than a web browser and speakers.

Melo-TTS is multilingual, with plans for future releases to include voice training and cloning.

The quality of Melo-TTS is very high, suitable for creating notations, voiceovers, and more.

The installation process for Melo-TTS is straightforward and can be done locally on one's machine.

Melo-TTS requires a significant amount of storage space due to the size of the downloaded files and models.

The local installation of Melo-TTS allows for customization and control over the text-to-speech engine.

The field of text-to-speech has seen rapid development, with Melo-TTS being a promising addition.

Melo-TTS can generate long texts, providing flexibility for various applications.

The speed of speech can be adjusted in Melo-TTS, allowing for customization of the output.

Melo-TTS is free to use, offering an accessible option for those looking to implement a text-to-speech solution.

The installation of Melo-TTS is done through Pinocchio, which provides a user-friendly interface for AI tools.

After the initial installation, Melo-TTS operates quickly, with subsequent uses not requiring model reloading.

Melo-TTS is a fast-acting and efficient text-to-speech engine, ideal for real-time applications.

The future of Melo-TTS includes further development and expansion of its capabilities.

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