38 citations · 138 across the 43 of their papers we have counts for
4 papers · 2 filters
Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion
Vijay Ravi, Yile Gu, Ankur Gandhe +5
End-to-end automatic speech recognition (ASR) systems, such as recurrent neural network transducer (RNN-T), have become popular, but rare word remains a challenge. In this paper, w…
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces
Milind Rao, Anirudh Raju, Pranav Dheram +2
We consider the problem of spoken language understanding (SLU) of extracting natural language intents and associated slot arguments or named entities from speech that is primarily…
Neural Composition: Learning to Generate from Multiple Models
Denis Filimonov, Ravi Teja Gadde, Ariya Rastrow
Decomposing models into multiple components is critically important in many applications such as language modeling (LM) as it enables adapting individual components separately and…
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…