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. Based on Co AI's text-to-speech engines, Melo-TTS is capable of producing competitive results and is particularly notable for its speed, allowing for real-time conversational speech synthesis. The model is multilingual and, while currently limited in voice options, plans for future updates include the ability to train custom voices and perform voice cloning. The video demonstrates the ease of using Melo-TTS through the Hugging Face platform and guides viewers on how to install and set up the model locally using Pinocchio, an AI tool suite. The installation process is straightforward but requires significant storage space due to the large size of the required files and models. Once installed, Melo-TTS offers a user-friendly interface for generating speech from text, showcasing its potential for various applications such as voiceovers and notations.
Takeaways
- 📢 The video introduces Melo-TTS, a new open-source local text-to-speech (TTS) model.
- 🔍 Melo-TTS is based on Co AI, a high-quality text-to-speech engine capable of generating human-like voices.
- ⏱️ One of Melo-TTS's key features is its speed, allowing for real-time conversational speech synthesis.
- 🌐 Melo-TTS is multilingual, with plans for future releases to include user-trained voices and voice cloning.
- 🎉 The quality of Melo-TTS's generated speech is competitive with production-level TTS engines, though not quite at the level of 11 Labs.
- 📝 Users can try Melo-TTS on the Hugging Face website without any PC requirements other than a web browser and speakers.
- 📚 Melo-TTS allows for the creation of voiceovers and notations due to its high voice quality.
- 🔧 Melo-TTS is open-source, enabling users to install it on their own machines.
- 📥 The installation process for Melo-TTS is straightforward and can be done via Pinocchio, an AI tool platform.
- 💾 Installing multiple AI models can require significant storage space, as each model and its associated files can be several gigabytes in size.
- ⚙️ Melo-TTS installation involves downloading required software like Cuda and git, and setting up a Python environment.
- ↗️ After the initial installation and model download, subsequent uses of Melo-TTS will be faster as the models are already cached locally.
Q & A
What is Melo-TTS?
-Melo-TTS is a new open-source local text-to-speech (TTS) model that generates high-quality, human-like voices. It is based on the Co AI text-to-speech engine.
What are some key features of Melo-TTS?
-Melo-TTS has a fast generation speed, allowing for real-time conversational speech. It is also multilingual and allows for voice training and cloning in future releases.
How does Melo-TTS compare to other TTS engines?
-While Melo-TTS does not reach the level of 11 Labs, which are considered top-tier TTS engines, it provides very good results and is significantly faster in generating speech.
What can you use Melo-TTS for?
-Melo-TTS can be used to create voice-overs, notations, and other audio content requiring human-like speech synthesis.
How fast does Melo-TTS generate speech?
-Melo-TTS can generate a half-minute of speech in just 1.4 seconds, which is considered quite fast.
How can you access and use Melo-TTS?
-You can access Melo-TTS through the Hugging Face website using a web browser, or you can install it locally on your machine using Pinocchio.
What is required to install Melo-TTS locally?
-To install Melo-TTS locally, you need to download it through Pinocchio, which will handle the installation process. This includes downloading required software like Cuda and Git, and setting up the necessary Python environment.
What are the system requirements for installing Melo-TTS?
-Melo-TTS requires a significant amount of space due to the size of the downloaded files and models. It is recommended to install it on a separate drive rather than the system hard drive.
How long does the installation process take for Melo-TTS?
-The first installation may take up to half an hour, depending on what is already installed on the system. Subsequent uses will be faster as the required models and files will have been downloaded.
What is the quality of the speech generated by Melo-TTS?
-The speech generated by Melo-TTS is very high quality, although it is noted that it does not match the quality of 11 Labs. It is suitable for various applications like storytelling and voice-overs.
Can you customize the speed of the generated speech in Melo-TTS?
-Yes, Melo-TTS allows you to adjust the speed of the generated speech, providing flexibility for different use cases.
What is the future development plan for Melo-TTS?
-Future developments for Melo-TTS include the ability to train your own voices and perform voice cloning, expanding its capabilities and customization options.
Outlines
😀 Introduction to Mellow TTS and its Features
The video script begins with the host's return after a hiatus due to medical issues. They introduce a new text-to-speech model called Mellow TTS, which is based on Co AI's text-to-speech engines. Mellow TTS is highlighted for its high-quality speech generation and fast processing speed, which makes it suitable for real-time conversational applications. The host mentions that Mellow TTS can compete with production-level text-to-speech engines, though it may not reach the level of 11 Labs, a leading text-to-speech engine provider. The script also notes that Mellow TTS is multilingual and has plans for future developments, including the ability to train custom voices and voice cloning. A demonstration of the model's capabilities is provided through the Hugging Face platform, showcasing the speed and quality of speech generation with different accents.
🛠️ Installing Mellow TTS using Pinocchio
The host guides viewers through the installation process of Mellow TTS using Pinocchio, a platform that simplifies the process of downloading and installing AI tools. The host provides a step-by-step walkthrough, starting from accessing the Pinocchio website, selecting the operating system, and initiating the download. After downloading, the host explains how to extract the files and run the Pinocchio setup. They also discuss the installation of additional software like Cuda and git, which are required for the Pinocchio environment. The host emphasizes the need for a significant amount of storage space due to the large size of the downloaded files and models. They suggest installing Pinocchio on a separate drive rather than the system hard drive. The video concludes with the successful installation of Mellow TTS and a demonstration of its local setup, showing the text-to-speech synthesis process and its ability to generate long text narratives with adjustable speed.
📚 Local Installation and Text-to-Speech Development
The script concludes with the host discussing the rapid development in the field of text-to-speech technology. They demonstrate the local installation of Mellow TTS, which is free to use and capable of generating long texts. The host uses Gemini, presumably an AI or text generation tool, to create a simple story, which is then synthesized into speech by Mellow TTS. The host shows how the speed of the speech can be adjusted, and they reiterate the potential of Mellow TTS despite it not being on par with 11 Labs. The video ends with a call to action for viewers to like, subscribe, and look forward to the next video.
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
Highlights
Melo-TTS is a new 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 known for its quality.
Competes with production-level TTS engines, though not at the level of 11 Labs.
Key feature is the speed of speech generation, suitable for real-time conversational use.
Demo available showcasing the quality and speed of Melo-TTS.
Multilanguage support with a limited number of voices initially, but with plans for future expansion.
Users will be able to train their own voices and perform voice cloning in future releases.
Hugging Face platform allows users to run the model in a web browser without PC requirements.
Demonstration of Melo-TTS generating a half-minute of speech in 1.4 seconds.
Voice quality is high, suitable for creating notations and voiceovers.
Different accents, such as British and Hindi, are available for synthesis.
Melo-TTS is open-source and can be installed on personal machines.
Simple installation process through Pinocchio, a platform for AI tools.
Requires a significant amount of storage space due to the size of downloaded files and models.
Local installation allows for faster subsequent use after initial model download.
The field of text-to-speech has seen rapid development, with Melo-TTS being a promising addition.
Users can change the speed of the generated speech for different listening preferences.
Melo-TTS provides a free and local TTS engine that can generate long texts.