Jonathan Cohen

Jasper: An End-to-End Convolutional Neural Acoustic Model

2019 · arXiv (Cornell University)

In this paper, we report state-of-the-art results on LibriSpeech among end-to-end speech recognition models without any external training data. Our model, Jasper, uses only 1D convolutions, batch normalization, ReLU, dropout, and residual connections. To improve …

A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks

2023 · arXiv (Cornell University)

A key property of neural networks (both biological and artificial) is how they learn to represent and manipulate input information in order to solve a task. Different types of representations may be suited to different …

NeMo: a toolkit for building AI applications using Neural Modules

2019 · arXiv (Cornell University)

NeMo (Neural Modules) is a Python framework-agnostic toolkit for creating AI applications through re-usability, abstraction, and composition. NeMo is built around neural modules, conceptual blocks of neural networks that take typed inputs and produce typed …