Get crystal-clear, human-like voices in seconds with Melo-TTS! A new Open-Source Local TTS
TLDRThe video introduces Melo-TTS, an open-source, local text-to-speech model that generates high-quality, human-like voices swiftly. Based on Co AI's text-to-speech engine, Melo-TTS is capable of real-time conversational speech and is set to include multilingual support, voice training, and cloning in future updates. The video demonstrates the speed of speech generation, with a 1.4-second synthesis time for a half-minute text. Although not at the level of industry leaders like 11 Labs, Melo-TTS offers commendable voice quality suitable for narrations and voiceovers. The presenter guides viewers through installing Melo-TTS using Pinocchio, emphasizing the need for ample storage space due to the large size of AI-related files. The video concludes with a local installation demonstration and a longer text synthesis, highlighting the model's rapid development and promising future in the text-to-speech field.
Takeaways
- 🎤 Melo-TTS is a new open-source local text-to-speech (TTS) model that generates high-quality, human-like voices.
- 🚀 Melo-TTS is based on Co AI, a text-to-speech engine known for its ability to produce very high-quality results with proper training.
- 🤩 One of the standout features of Melo-TTS is its speed, allowing for near-instant real-time conversational speech generation.
- 📈 While not at the level of 11 Labs, which are top-tier in speech synthesis, Melo-TTS provides very good results.
- 🌐 Melo-TTS is multilingual and currently offers a selection of voices, with plans for future releases to include voice training and cloning.
- 📚 The model can be tested and used through a web browser on the Hugging Face platform without any specific PC requirements.
- 🔧 Melo-TTS is open-source, allowing users to install it on their own machines for local use.
- 📥 The installation process for Melo-TTS is straightforward and can be done via the Pinocchio platform, which provides a list of AI tools.
- 💾 Melo-TTS requires a significant amount of storage space due to the size of the downloaded files and the Python environment it generates.
- ⏱️ The first use of Melo-TTS on a local machine may take longer due to model downloads, but subsequent uses will be faster as the models are cached.
- 📉 Melo-TTS, while not surpassing 11 Labs in quality, is very promising and offers a free alternative for text-to-speech needs.
Q & A
What is Melo-TTS?
-Melo-TTS is an open-source local text-to-speech (TTS) model that can generate high-quality speech from text. It is based on the Co AI text-to-speech engine and is capable of producing results that can compete with some production-level TTS engines.
What are the key features of Melo-TTS?
-One of the key features of Melo-TTS is its speed, allowing for real-time conversational speech synthesis. It is also multilingual and has plans for future releases that include the ability to train your own voices and voice cloning.
How does Melo-TTS compare to other TTS engines in terms of quality?
-While Melo-TTS does not reach the level of 11 Labs, which are considered top-tier in TTS engines, it still provides very good results. The voice quality is high and suitable for creating notations, voice-overs, and similar applications.
How fast does Melo-TTS generate speech?
-Melo-TTS is capable of generating speech extremely quickly. For example, it can generate a half-minute of sound from a long text in just 1.4 seconds.
Is Melo-TTS available for use on a local machine?
-Yes, Melo-TTS can be installed on your own machine. It is open-source, allowing users to download and use it without any specific requirements other than a web browser and speakers.
How can one try Melo-TTS without installing it?
-Users can try Melo-TTS without installing it by visiting the Hugging Face page where the model can be run directly in a web browser.
What is the process of installing Melo-TTS on a local machine?
-To install Melo-TTS, one needs to download the Pinocchio software, extract the files, and run the setup. After the installation of required software like Cuda and git, the user can download and install Melo-TTS from the Pinocchio environment.
What are the system requirements for installing Melo-TTS?
-Melo-TTS requires a significant amount of space as it generates an entire Python environment which can be several gigabytes in size. It is recommended to install it on a separate drive rather than the system hard drive.
Can users customize Melo-TTS with their own voices?
-Future developments of Melo-TTS plan to include the ability for users to train their own voices and perform voice cloning, allowing for a higher level of personalization.
How does the installation process of Melo-TTS via Pinocchio work?
-After installing Pinocchio and setting it up, users can discover and download Melo-TTS. Once downloaded, they can install it, which involves downloading required files and python packages. After installation, the user can access a local text-to-speech engine through a provided link in a web browser.
What is the advantage of using Melo-TTS for content creation?
-Melo-TTS allows for the creation of voice-overs and notations with high-quality speech synthesis. Its fast generation speed and the ability to adjust speech parameters, such as speed, make it a useful tool for content creators.
Is there a community or support for users of Melo-TTS?
-While the script does not explicitly mention a community, the open-source nature of Melo-TTS implies that there is likely a community of users and developers who share insights, improvements, and support through platforms like GitHub.
Outlines
📢 Introduction to Mellow TTS
The speaker begins by addressing their audience after a hiatus due to medical issues and expresses hope for regular content uploads moving forward. 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 model's key feature is its speed, allowing for real-time conversational speech synthesis. The video showcases the model's capabilities with examples and directs viewers to the GitHub page and a hugging face page for hands-on experience. The speaker also mentions future developments, including multilingual support, voice training, and cloning.
🔧 Installing Mellow TTS with Pinocchio
The speaker provides a step-by-step guide on how to install Mellow TTS using Pinocchio, a software that simplifies the process. They explain that Pinocchio can be downloaded from a provided link and installed on a Windows system. After installation, Pinocchio offers a range of AI tools, including Mellow TTS. The speaker details the installation process, which includes downloading required files and setting up a local server. They caution that the installation requires significant disk space due to the size of the models and recommend installing it on a separate drive. The video concludes with the successful local installation of Mellow TTS and a demonstration of its capabilities.
📚 Local Mellow TTS Setup and Usage
The speaker demonstrates the use of the locally installed Mellow TTS after the initial setup. They explain that the first use may take longer due to the download of required models. However, subsequent uses are faster as the models are already downloaded. The speaker uses Gemini to generate a long, simple story and inputs it into Mellow TTS to synthesize speech. They highlight the ability to adjust the speed of the speech and note that while the quality may not match industry leaders like 11 Labs, Mellow TTS shows promise and is a free-to-use tool. The video ends with an invitation for viewers to like, subscribe, and look forward to future content.
Mindmap
Keywords
💡Melo-TTS
💡Text-to-Speech (TTS)
💡Co AI
💡Real-time conversational speech
💡Voice cloning
💡Hugging Face
💡Multilanguage support
💡Open source
💡Pinocchio
💡Local installation
💡Python environment
💡Cuda and git
Highlights
Melo-TTS is a new open-source local text-to-speech model that can generate high-quality results with proper training.
Based on Co AI, an advanced text-to-speech engine, Melo-TTS can compete with production-level speech synthesis.
While not at the level of 11 Labs, Melo-TTS provides very good results.
One key feature of Melo-TTS is its speed, enabling real-time conversational speech generation.
The model is multilingual and currently offers a handful of voices, with plans for future expansion.
Users can train their own voices and perform voice cloning in future releases.
The hugging face page allows users to run the model without any PC requirements, just a web browser and speakers.
Melo-TTS can generate a half-minute of sound from text in just 1.4 seconds.
The voice quality is high, suitable for creating notations, voiceovers, and similar applications.
Different accents, such as British and Hindu, are available for synthesis.
Melo-TTS is open source and can be installed on a personal machine.
Installation is straightforward, with a download link provided and support for various operating systems.
The Pinocchio platform simplifies the installation process for AI tools, including Melo-TTS.
The initial installation may take up to half an hour, depending on the user's system.
Melo-TTS requires a significant amount of storage space due to the size of the downloaded files and models.
The local installation allows for faster subsequent uses after the initial model download.
Users can adjust the speed of the generated speech, providing flexibility in output.
The text-to-speech field has seen rapid development, with Melo-TTS offering a promising alternative to existing solutions.
