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researcher

Aoting Zhang

8 papers hereh-index 7148 citations8 works total

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

author position
  • first author2
  • middle author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • eess.AS4
  • cs.SD3
  • cs.CV1
same name
  • Aoting Zhang — 6 papers, h 4

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
20212024
most citedDense Semantic Contrast for Self-Supervised Visual Representation Learning

4 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2023

U2-KWS: Unified Two-pass Open-vocabulary Keyword Spotting with Keyword Bias

Ao Zhang, Pan Zhou, Kaixun Huang +3

Open-vocabulary keyword spotting (KWS), which allows users to customize keywords, has attracted increasingly more interest. However, existing methods based on acoustic models and p…

eess.AS2023

Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition

Kaixun Huang, Ao Zhang, Binbin Zhang +3

The attention-based deep contextual biasing method has been demonstrated to effectively improve the recognition performance of end-to-end automatic speech recognition (ASR) systems…

eess.AS2023

Contextualized End-to-End Speech Recognition with Contextual Phrase Prediction Network

Kaixun Huang, Ao Zhang, Zhanheng Yang +4

Contextual information plays a crucial role in speech recognition technologies and incorporating it into the end-to-end speech recognition models has drawn immense interest recentl…

eess.AS2023

The NPU-ASLP System for Audio-Visual Speech Recognition in MISP 2022 Challenge

Pengcheng Guo, He Wang, Bingshen Mu +2

This paper describes our NPU-ASLP system for the Audio-Visual Diarization and Recognition (AVDR) task in the Multi-modal Information based Speech Processing (MISP) 2022 Challenge.…

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