Ryan Prenger
Publications by Year
Research Areas
Topic Modeling, Speech Recognition and Synthesis, Natural Language Processing Techniques, Neural dynamics and brain function, Visual perception and processing mechanisms
Most-Cited Works
- → Deep Speech 2: End-to-End Speech Recognition in English and Mandarin(2015)2,175 cited
- → Deep Speech: Scaling up end-to-end speech recognition(2014)1,513 cited
- → Identifying natural images from human brain activity(2008)1,358 cited
- → Bayesian Reconstruction of Natural Images from Human Brain Activity(2009)542 cited
- → Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA?(2012)172 cited
- → Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting(2017)146 cited
- → Neural Representation of Natural Images in Visual Area V2(2010)112 cited
- → Modeling low‐frequency fluctuation and hemodynamic response timecourse in event‐related fMRI(2007)84 cited
- → Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis(2020)81 cited