Text-to-Speech
PyTorch
ONNX
Catalan
matcha-tts
acoustic modelling
speech
multispeaker
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  ## Model description
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- **Matcha-TTS** is an encoder-decoder architecture designed for fast acoustic modelling in TTS. The encoder predicts phoneme durations and its mean feature vectors.
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  And the decoder is essentially a U-Net inspired by [Grad-TTS](https://arxiv.org/pdf/2105.06337.pdf), that is based on Transformers architecture but combined
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  with 1D instead of 2D CNNs, making a high reduction on memory consumption and speedy synthesis.
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  ## Model description
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+ **Matcha-TTS** is an encoder-decoder architecture designed for fast acoustic modelling in TTS. The encoder predicts phoneme durations and its average acoustic features.
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  And the decoder is essentially a U-Net inspired by [Grad-TTS](https://arxiv.org/pdf/2105.06337.pdf), that is based on Transformers architecture but combined
37
  with 1D instead of 2D CNNs, making a high reduction on memory consumption and speedy synthesis.
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