Conformer: Convolution-augmented Transformer for Speech Recognition
Recently Transformer and Convolution neural network (CNN) based models have shown promising results in Automatic Speech Recognition (ASR), outperforming Recurrent neural network...
Publications
4 shownNatural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
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 predic...
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based...
Exploring the Limits of Language Modeling
In this work we explore recent advances in Recurrent Neural Networks for large scale Language Modeling, a task central to language understanding. We extend current models to dea...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 11,443
- Institution
- Google (United States)
External Links
Identifiers
- ORCID
- 0000-0002-6780-6135
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.