2.2k citations · 3.7k across the 33 of their papers we have counts for
3 papers · 1 filter
Deep Speech: Scaling up end-to-end speech recognition
Awni Hannun, Carl Case, Jared Casper +8
We present a state-of-the-art speech recognition system developed using end-to-end deep learning. Our architecture is significantly simpler than traditional speech systems, which r…
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs
Awni Y. Hannun, Andrew L. Maas, Daniel Jurafsky +1
We present a method to perform first-pass large vocabulary continuous speech recognition using only a neural network and language model. Deep neural network acoustic models are now…
Building DNN Acoustic Models for Large Vocabulary Speech Recognition
Andrew L. Maas, Peng Qi, Ziang Xie +4
Deep neural networks (DNNs) are now a central component of nearly all state-of-the-art speech recognition systems. Building neural network acoustic models requires several design d…