parler-tts-large-v1
Maintainer: parler-tts
152
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The parler-tts-large-v1 is a 2.2B-parameter text-to-speech (TTS) model from the Parler-TTS project. It can generate high-quality, natural-sounding speech with features that can be controlled using a simple text prompt, such as gender, background noise, speaking rate, pitch, and reverberation. This model is the second release from the Parler-TTS project, which also includes the Parler-TTS Mini v1 model. The project aims to provide the community with TTS training resources and dataset pre-processing code.
Model inputs and outputs
The parler-tts-large-v1 model takes a text description as input and generates high-quality speech audio as output. The text description can include details about the desired voice characteristics, such as gender, speaking rate, and emotion.
Inputs
- Text Description: A text prompt that describes the desired voice characteristics, such as gender, speaking rate, emotion, and background noise.
Outputs
- Audio: The generated speech audio that matches the provided text description.
Capabilities
The parler-tts-large-v1 model can generate highly natural-sounding speech with a high degree of control over the output. By including specific details in the text prompt, users can generate speech with a desired gender, speaking rate, emotion, and background characteristics. This allows for the creation of diverse and expressive speech outputs.
What can I use it for?
The parler-tts-large-v1 model can be used to generate high-quality speech for a variety of applications, such as audiobook narration, voice assistants, and multimedia content. The ability to control the voice characteristics makes it particularly useful for creating personalized or customized speech outputs. For example, you could use the model to generate speech in different languages, emotions, or voices for characters in a video game or animated film.
Things to try
One interesting thing to try with the parler-tts-large-v1 model is to experiment with different text prompts to see how the generated speech changes. For example, you could try generating speech with different emotional tones, such as happy, sad, or angry, or vary the speaking rate and pitch to create different styles of delivery. You could also try generating speech in different languages or with specific accents by including those details in the prompt.
Another thing to explore is the model's ability to generate speech with background noise or other environmental effects. By including terms like "very noisy audio" or "high-quality audio" in the prompt, you can see how the model adjusts the output to match the desired audio characteristics.
Overall, the parler-tts-large-v1 model provides a high degree of control and flexibility in generating natural-sounding speech, making it a powerful tool for a variety of audio-based applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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