The Tortoise-tts text-to-audio model has a wide range of potential applications for the technical audience. This model can be used to develop voice assistants with more natural and human-like speech, enhancing the user experience and making interactions with the virtual assistant more pleasant. Additionally, Tortoise-tts can be utilized in audiobook narration, enabling the creation of high-quality audio versions of books that retain the emotion and nuance of the original text. The model can also be employed in speech synthesis, providing a powerful tool for generating human-like speech in various applications such as automated customer service, language learning programs, and assistive technologies for individuals with speech impairments. In terms of product possibilities, this model could be used to create advanced voice assistants that rival human speech, improve the accessibility of literature for visually impaired individuals with lifelike audiobook narration, and enhance the overall quality of speech synthesis in numerous industries.
- Cost per run
- Avg run time
- Nvidia T4 GPU
|Mannequin Gan 3 Electric Boogaloo 2||$?||850|
|Clip Guided Diffusion||$?||40,435|
|Glid 3 Xl||$0.011||7,882|
You can use this area to play around with demo applications that incorporate the Tortoise Tts model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
|Model Name||Tortoise Tts|
Generate speech from text, clone voices from mp3 files. From James Betker A...Read more »
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$-|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||-|