TensorFlow DC-TTS

TensorFlow DC-TTS: Open-Source Neural TTS Model

High-Quality Human-Like Voices from Text with TensorFlow DC-TTS, an open-source neural text-to-speech model developed by MengRao at MengTubeLab.

What is TensorFlow DC-TTS?

TensorFlow DC-TTS is an open-source neural text-to-speech (TTS) framework developed by MengRao at MengTubeLab. It leverages recent advances in deep learning to generate human-like speech from text input. The model is based on a convolutional neural network architecture and generative adversarial network (GAN) training methodology.

Some key features of TensorFlow DC-TTS include:

• Generates very natural and expressive speech that rivals current state-of-the-art TTS systems
• Compact model size, fast inference speed, and low memory footprint
• Supports multiple speaker identities with different accents/languages
• Easy to train new models from scratch with little data using transfer learning
• Implemented in TensorFlow for easy integration into other projects
• Actively maintained by MengTubeLab with frequent updates

TensorFlow DC-TTS represents an important step towards making high-quality TTS accessible to more people by providing an open-source framework. Its natural voices and small footprint make it well-suited for integration into applications on edge devices. The project is released under the Apache 2.0 license.

TensorFlow DC-TTS Features

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