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ForwardTacotron – Generating speech without attention
- datitran 7y agoWe've just open-sourced our first text-to-speech project! It's also our first public PyTorch project. Inspired by Microsoft's FastSpeech, we modified Tacotron (Fork from fatchord's WaveRNN) to generate speech in a single forward pass without using any attention. Hence, we call the model ⏩ ForwardTacotron. The model has several advantages: * Robustness: No repeats and failed attention modes for complex sentences * Speed: Generating a spectrogram takes about 0.04s on a RTX2080 * Controllability: You can control the speed of the speech synthesis ️* Efficiency: No usage of attention so memory size grows linearly with text size We also provide a Colab notebook to try out our pre-trained model trained 100k steps on LJSpeech and also some Samples. Check it out! * Github: https://github.com/as-ideas/ForwardTacotron https://github.com/as-ideas/ForwardTacotron * Samples: https://as-ideas.github.io/ForwardTacotron/ https://as-ideas.github.io/ForwardTacotron/ * Colab notebook: https://colab.research.google.com/github/as-ideas/ForwardTacotron/blob/master/notebooks/synthesize.ipynb https://colab.research.google.com/github/as-ideas/ForwardTac...