Matthew Wiesner

Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling

2018 · arXiv (Cornell University)

Sequence-to-sequence (seq2seq) approach for low-resource ASR is a relatively new direction in speech research. The approach benefits by performing model training without using lexicon and alignments. However, this poses a new problem of requiring more …

The impact of human expert visual inspection on the discovery of strong gravitational lenses

2023 · Monthly Notices of the Royal Astronomical Society

ABSTRACT We investigate the ability of human ‘expert’ classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that completed more than 25 per cent …

ESPnet: End-to-End Speech Processing Toolkit

2018 · arXiv (Cornell University)

This paper introduces a new open source platform for end-to-end speech processing named ESPnet. ESPnet mainly focuses on end-to-end automatic speech recognition (ASR), and adopts widely-used dynamic neural network toolkits, Chainer and PyTorch, as a …