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Liang Lu

29 papers hereh-index 262.5k citations68 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author11
  • middle author14

Across the 28 of 29 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • eess.AS10
  • cs.SD4
  • cs.NE1
same name
  • Liang Lu — 3 papers, h 2
  • Liang Lu — 2 papers, h 2
  • Liang Lu — 2 papers, h 3
  • Liang Lu — 2 papers, h 3
  • Liang Lu — 1 paper, h 1
  • Liang Lu — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedExploring Transformers for Large-Scale Speech Recognition

15 citations · 30 across the 14 of their papers we have counts for

collaborators
Showing 2020 · eess.ASShow all

4 papers · 2 filters

eess.AS2020★ 2 cited

Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR

Naoyuki Kanda, Zhong Meng, Liang Lu +4

Recently, an end-to-end speaker-attributed automatic speech recognition (E2E SA-ASR) model was proposed as a joint model of speaker counting, speech recognition and speaker identif…

eess.AS2020

Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition

Zhong Meng, Sarangarajan Parthasarathy, Eric Sun +7

The external language models (LM) integration remains a challenging task for end-to-end (E2E) automatic speech recognition (ASR) which has no clear division between acoustic and la…

eess.AS2020★ 15 cited

Exploring Transformers for Large-Scale Speech Recognition

Liang Lu, Changliang Liu, Jinyu Li +1

While recurrent neural networks still largely define state-of-the-art speech recognition systems, the Transformer network has been proven to be a competitive alternative, especiall…

eess.AS2020

Low Latency End-to-End Streaming Speech Recognition with a Scout Network

Chengyi Wang, Yu Wu, Shujie Liu +4

The attention-based Transformer model has achieved promising results for speech recognition (SR) in the offline mode. However, in the streaming mode, the Transformer model usually…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.