Adaptable Multi-Domain Language Model for Transformer ASR

no code implementations • 14 Aug 2020 • Taewoo Lee, Min-Joong Lee, Tae Gyoon Kang, Seokyeoung Jung, Minseok Kwon, Yeona Hong, Jungin Lee, Kyoung-Gu Woo, Ho-Gyeong Kim, Jiseung Jeong, Ji-Hyun Lee, Hosik Lee, Young Sang Choi

We propose an adapter based multi-domain Transformer based language model (LM) for Transformer ASR.

Domain Adaptation Language Modelling

Attention based on-device streaming speech recognition with large speech corpus

no code implementations • 2 Jan 2020 • Kwangyoun Kim, Kyungmin Lee, Dhananjaya Gowda, Junmo Park, Sungsoo Kim, Sichen Jin, Young-Yoon Lee, Jinsu Yeo, Daehyun Kim, Seokyeong Jung, Jungin Lee, Myoungji Han, Chanwoo Kim

In this paper, we present a new on-device automatic speech recognition (ASR) system based on monotonic chunk-wise attention (MoChA) models trained with large (> 10K hours) corpus.

Automatic Speech Recognition Data Augmentation +2