Dec 16, 2017 · The system is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, ...

The system is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed by a ...

This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text.

This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text.

Pytorch implementation of Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation focuses as much as possible on the ...

Dec 19, 2017 · I'm reading the paper and wondering why they use mel spectrograms instead of WORLD vocoder features to condition WaveNet. Doesn't WORLD encoder ...

The system is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed by a ...

Dec 15, 2017 · This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text.

Tacotron 2 is a neural network architecture for speech synthesis directly from text. It consists of two components: a recurrent sequence-to-sequence feature ...

Currently, most of the above tasks focus on predicting the amplitude information of speech signals or derived features (e.g., mel spectrograms and mel cepstra).