Tacotron is an end-to-end generative text-to-speech model that takes a character sequence as input and outputs the corresponding spectrogram. The backbone of Tacotron is a seq2seq model with attention. The Figure depicts the model, which includes an encoder, an attention-based decoder, and a post-processing net. At a high-level, the model takes characters as input and produces spectrogram frames, which are then converted to waveforms.
Source: Tacotron: Towards End-to-End Speech SynthesisPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Speech Synthesis | 42 | 38.89% |
Text-To-Speech Synthesis | 15 | 13.89% |
Decoder | 9 | 8.33% |
Sentence | 6 | 5.56% |
Voice Cloning | 5 | 4.63% |
Voice Conversion | 4 | 3.70% |
Speech Recognition | 4 | 3.70% |
Expressive Speech Synthesis | 3 | 2.78% |
Self-Supervised Learning | 2 | 1.85% |