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Y. Qian

51 papers hereh-index 4416.1k citations218 works total

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

author position
  • first author3
  • middle author21
  • last author24

Across the 48 of 51 papers where every author was matched, so the position is known.

fields
  • cs.SD26
  • eess.AS20
  • cs.CL5
same name
  • Y. Qian — 57 papers, h 39
  • Y. Qian — 19 papers, h 11
  • Y. Qian — 14 papers, h 34
  • Y. Qian — 14 papers, h 8
  • Y. Qian — 11 papers, h 59
  • Y. Qian — 10 papers, h 14

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
20162025
most citedEnd-to-end spoofing detection with raw waveform CLDNNs

67 citations · 246 across the 39 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018

End-to-End Monaural Multi-speaker ASR System without Pretraining

Xuankai Chang, Yanmin Qian, Kai Yu +1

Recently, end-to-end models have become a popular approach as an alternative to traditional hybrid models in automatic speech recognition (ASR). The multi-speaker speech separation…

cs.CL2018

Sequence Discriminative Training for Deep Learning based Acoustic Keyword Spotting

Zhehuai Chen, Yanmin Qian, Kai Yu

Speech recognition is a sequence prediction problem. Besides employing various deep learning approaches for framelevel classification, sequence-level discriminative training has be…

cs.SD2018

Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures

Jun Wang, Jie Chen, Dan Su +4

Speaker-aware source separation methods are promising workarounds for major difficulties such as arbitrary source permutation and unknown number of sources. However, it remains cha…

cs.SD2018

Deep Discriminant Analysis for i-vector Based Robust Speaker Recognition

Shuai Wang, Zili Huang, Yanmin Qian +1

Linear Discriminant Analysis (LDA) has been used as a standard post-processing procedure in many state-of-the-art speaker recognition tasks. Through maximizing the inter-speaker di…

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