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H. Liao

10 papers hereh-index 202.1k citations35 works total

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

author position
  • middle author7
  • last author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • eess.AS4
  • cs.CL3
  • cs.CV1
  • cs.LG1
  • stat.ML1
same name
  • H. Liao — 222 papers, h 68
  • H. Liao — 209 papers
  • H. Liao — 59 papers, h 42
  • H. Liao — 56 papers, h 7
  • H. Liao — 32 papers, h 15
  • H. Liao — 26 papers, h 20

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
20162023
most citedNeural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

57 citations · 120 across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

eess.AS2019★ 15 cited

Recurrent Neural Network Transducer for Audio-Visual Speech Recognition

Takaki Makino, Hank Liao, Yannis Assael +4

This work presents a large-scale audio-visual speech recognition system based on a recurrent neural network transducer (RNN-T) architecture. To support the development of such a sy…

eess.AS2019★ 13 cited

A comparison of end-to-end models for long-form speech recognition

Chung-Cheng Chiu, Wei Han, Yu Zhang +11

End-to-end automatic speech recognition (ASR) models, including both attention-based models and the recurrent neural network transducer (RNN-T), have shown superior performance com…

cs.CL2019★ 6 cited

Adversarial Training for Multilingual Acoustic Modeling

Ke Hu, Hasim Sak, Hank Liao

Multilingual training has been shown to improve acoustic modeling performance by sharing and transferring knowledge in modeling different languages. Knowledge sharing is usually ac…

cs.CL2019★ 23 cited

Neural Language Modeling with Visual Features

Antonios Anastasopoulos, Shankar Kumar, Hank Liao

Multimodal language models attempt to incorporate non-linguistic features for the language modeling task. In this work, we extend a standard recurrent neural network (RNN) language…

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