184 citations · 557 across the 54 of their papers we have counts for
4 papers · 1 filter
Streaming End-to-end Speech Recognition For Mobile Devices
Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar +17
End-to-end (E2E) models, which directly predict output character sequences given input speech, are good candidates for on-device speech recognition. E2E models, however, present nu…
From Audio to Semantics: Approaches to end-to-end spoken language understanding
Parisa Haghani, Arun Narayanan, Michiel Bacchiani +6
Conventional spoken language understanding systems consist of two main components: an automatic speech recognition module that converts audio to a transcript, and a natural languag…
Deep context: end-to-end contextual speech recognition
Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar +2
In automatic speech recognition (ASR) what a user says depends on the particular context she is in. Typically, this context is represented as a set of word n-grams. In this work, w…
Exploring Architectures, Data and Units For Streaming End-to-End Speech Recognition with RNN-Transducer
Kanishka Rao, Haşim Sak, Rohit Prabhavalkar
We investigate training end-to-end speech recognition models with the recurrent neural network transducer (RNN-T): a streaming, all-neural, sequence-to-sequence architecture which…