Shypd.aiThe largest open index of AI toolsTransformer-TTS is an Audio & Music tool that provides a PyTorch implementation of a Transformer Network for neural speech synthesis. It offers significantly faster training times compared to traditional seq2seq models like Tacotron.
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Transformer-TTS is a PyTorch implementation of the "Neural Speech Synthesis with Transformer Network," designed for efficient and high-quality speech synthesis. This model boasts training speeds 3 to 4 times faster than well-known seq2seq models such as Tacotron, while maintaining comparable synthesized speech quality. It utilizes a post-network based on the CBHG model from Tacotron and converts spectrograms into raw audio waves using the Griffin-Lim algorithm. The project includes detailed instructions for data preparation, training the autoregressive attention network and post-network, and generating TTS samples, making it a valuable resource for researchers and developers in speech synthesis.
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