12 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CL2022
USTED: Improving ASR with a Unified Speech and Text Encoder-Decoder
Bolaji Yusuf, Ankur Gandhe, Alex Sokolov
Improving end-to-end speech recognition by incorporating external text data has been a longstanding research topic. There has been a recent focus on training E2E ASR models that ge…
cs.CL2020
Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion
Alex Sokolov, Tracy Rohlin, Ariya Rastrow
Grapheme-to-phoneme (G2P) models are a key component in Automatic Speech Recognition (ASR) systems, such as the ASR system in Alexa, as they are used to generate pronunciations for…
cs.CL2020★ 12 cited
Neural Machine Translation For Paraphrase Generation
Alex Sokolov, Denis Filimonov
Training a spoken language understanding system, as the one in Alexa, typically requires a large human-annotated corpus of data. Manual annotations are expensive and time consuming…