Jason Li

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 …

Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning

2021 · arXiv (Cornell University)

Toxic online speech has become a crucial problem nowadays due to an exponential increase in the use of internet by people from different cultures and educational backgrounds. Differentiating if a text message belongs to hate …

Enabling Privacy-preserving Multidimensional Network Telemetry with Autoencoders

2023

Network telemetry systems are essential for monitoring network traffic and informing management decisions. However, increasing privacy concerns make user data access and analysis challenging for operators. We introduce PrvTel, a privacy-preserving telemetry system that uses …

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 …