5 citations · 10 across the 3 of their papers we have counts for
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cs.SD2021★ 2 cited
Exploiting Large-scale Teacher-Student Training for On-device Acoustic Models
Jing Liu, Rupak Vignesh Swaminathan, Sree Hari Krishnan Parthasarathi +3
We present results from Alexa speech teams on semi-supervised learning (SSL) of acoustic models (AM) with experiments spanning over 3000 hours of GPU time, making our study one of…
cs.SD2019★ 5 cited
Realizing Petabyte Scale Acoustic Modeling
Sree Hari Krishnan Parthasarathi, Nitin Sivakrishnan, Pranav Ladkat +1
Large scale machine learning (ML) systems such as the Alexa automatic speech recognition (ASR) system continue to improve with increasing amounts of manually transcribed training d…