Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models

5 November 2021

Papers citing "Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models"

5 / 5 papers shown

Title
Distilling Knowledge via Knowledge Review Pengguang Chen Shu Liu Hengshuang Zhao Jiaya Jia 155 422 0 19 Apr 2021
Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification Bidisha Sharma Maulik C. Madhavi Haizhou Li 21 19 0 15 Feb 2021
Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching Mingi Ji Byeongho Heo Sungrae Park 65 143 0 05 Feb 2021
Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition Cheng Yi Shiyu Zhou Bo Xu 51 40 0 17 Jan 2021
NeMo: a toolkit for building AI applications using Neural Modules Oleksii Kuchaiev Jason Chun Lok Li Huyen Nguyen Oleksii Hrinchuk Ryan Leary ... Jack Cook P. Castonguay Mariya Popova Jocelyn Huang Jonathan M. Cohen 211 292 0 14 Sep 2019