Tortoise TTS (Text to Speech & Cloning)
Tortoise TTS is a Ai Voice software that runs of Google Colab Research Server.
Tortoise TTS (Text to Speech) uses AI to generate speech from text. It was created by James Betker, a software engineer who wanted to create a TTS system that was more expressive and natural-sounding than existing systems. Tortoise TTS is trained on a large dataset of human speech, which allows it to generate speech that is more realistic and lifelike. It can also be used to clone voices from mp3 files.
Here are some of the features of Tortoise TTS:
It can generate speech in over 100 languages.
It can generate speech in a variety of voices, including male, female, and child voices.
It can generate speech with different accents, such as American, British, and Australian accents.
It can generate speech with different emotions, such as happy, sad, angry, and surprised.
It can generate speech with different styles, such as formal, informal, and technical.
Tortoise TTS uses a combination of two AI models:
GPT-3 is a large language model (LLM) chatbot developed by OpenAI. It is trained on a massive dataset of text and code, and it can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
Diffusion models are a type of generative AI model that can be used to create realistic images and videos. They work by starting with a random noise signal and then gradually adding detail to the signal until it resembles the desired output.
Tortoise TTS uses a diffusion model called MelGAN. MelGAN is a generative adversarial network (GAN) that was developed specifically for text-to-speech (TTS). It works by first generating a mel spectrogram, which is a representation of the speech signal in the frequency domain. The mel spectrogram is then converted to an audio waveform using a vocoder.
MelGAN has been shown to generate speech that is more realistic and expressive than other diffusion models. It is also able to generate speech in a wider range of languages and voices.
Here are some of the benefits of using MelGAN:
It can generate speech that is more realistic and expressive than other diffusion models.
It can generate speech in a wider range of languages and voices.
It is faster and more efficient than other diffusion models.
It is more stable and less prone to artifacts.
Tortoise TTS combines the capabilities of GPT-3 and diffusion models to generate speech that is both realistic and expressive. The GPT-3 model provides the text content, while the diffusion model provides the audio quality.
Voice Cloning:
Tortoise TTS can clone an existing voice. It is a multi-voice TTS system trained with an emphasis on quality, and it has impressive voice cloning capabilities.
All you have to do is to provide some samples of the voice that you want to clone and this tool will do the rest.
It will walk you through a step-by-step process including how to get the best possible training data.
watch the video till the end for all the tips and tricks.1
Here are some of the benefits of using Tortoise TTS:
It can generate speech in over 100 languages.
It can generate speech in a variety of voices, including male, female, and child voices.
It can generate speech with different accents, such as American, British, and Australian accents.
It can generate speech with different emotions, such as happy, sad, angry, and surprised.
It can generate speech with different styles, such as formal, informal, and technical.
It is available as a free open-source library or as a paid API.
Tortoise TTS is available as a free open-source library or as a paid API. The free library can be used to generate speech locally on your computer. The paid API can be used to generate speech from anywhere in the world.
Github Repositoy: https://github.com/neonbjb/tortoise-tts
Google Colab Repository: tortoise-tts.ipynb - Colaboratory
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