keonlee9420/Deep-Learning-TTS-Template
This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).
This project offers a foundational structure for building a Text-to-Speech (TTS) system that converts written text into natural-sounding spoken audio. It provides the essential components like data handling, model training, and audio generation tools. The primary users are researchers or engineers who are developing custom deep learning-based TTS models.
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Use this if you are developing a new non-autoregressive deep learning Text-to-Speech model and need a ready-made pipeline for data preparation, training, and synthesis.
Not ideal if you are a non-developer seeking an out-of-the-box solution to generate speech from text, or if you need to deploy an existing TTS model without customization.
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Python
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MIT
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Last pushed
Jun 15, 2021
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