63.6k citations · 65.7k across the 31 of their papers we have counts for
4 papers · 2 filters
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
Jonathan Shen, Ruoming Pang, Ron J. Weiss +10
This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text. The system is composed of a recurrent sequence-to-sequence feature predictio…
State-of-the-art Speech Recognition With Sequence-to-Sequence Models
Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu +11
Attention-based encoder-decoder architectures such as Listen, Attend, and Spell (LAS), subsume the acoustic, pronunciation and language model components of a traditional automatic…
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton +11
A text-to-speech synthesis system typically consists of multiple stages, such as a text analysis frontend, an acoustic model and an audio synthesis module. Building these component…
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Ron J. Weiss, Jan Chorowski, Navdeep Jaitly +2
We present a recurrent encoder-decoder deep neural network architecture that directly translates speech in one language into text in another. The model does not explicitly transcri…