tts_transformer-zh-cv7_css10
Maintainer: facebook
84
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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 tts_transformer-zh-cv7_css10 model is a Transformer text-to-speech (TTS) model from Facebook's fairseq S^2 toolkit. It is a pre-trained model for Simplified Chinese, with a single-speaker female voice. The model was pre-trained on the Common Voice v7 dataset and then fine-tuned on the CSS10 dataset.
The model is similar to other TTS models like the fastspeech2-en-ljspeech model, which is an English TTS model trained on the LJSpeech dataset. Both models use the Transformer architecture and are part of the fairseq S^2 toolkit.
Model inputs and outputs
Inputs
- Text: The model takes text input that it converts to speech.
Outputs
- Audio: The model outputs audio in the form of a waveform, which can be played back as speech.
Capabilities
The tts_transformer-zh-cv7_css10 model is capable of generating high-quality speech in Simplified Chinese from text input. It can be used to create conversational interfaces, audio books, or other applications that require text-to-speech functionality in Chinese.
What can I use it for?
The tts_transformer-zh-cv7_css10 model can be used in a variety of applications that require text-to-speech capabilities in Simplified Chinese. Some potential use cases include:
- Conversational interfaces: The model can be integrated into chatbots, virtual assistants, or other conversational interfaces to provide natural-sounding speech output in Chinese.
- Audio books and podcasts: The model can be used to generate audio narration for books, articles, or other content in Chinese.
- Accessibility tools: The model can be used to provide text-to-speech functionality for users who require auditory output, such as people with visual impairments or reading difficulties.
- Language learning: The model can be used to create interactive learning materials or practice exercises for people learning the Simplified Chinese language.
Things to try
One interesting thing to try with the tts_transformer-zh-cv7_css10 model is to experiment with different input text and observe how the model generates the corresponding speech output. This can help you understand the model's capabilities and limitations in terms of pronunciation, intonation, and overall speech quality.
Additionally, you can compare the performance of this model to other TTS models, such as the fastspeech2-en-ljspeech model, to see how it handles different language and acoustic environments.
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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