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Xuechen Liu

50 papers hereh-index 121.9k citations33 works total

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

author position
  • first author16
  • middle author29

Across the 45 of 50 papers where every author was matched, so the position is known.

fields
  • cs.SD21
  • eess.AS15
  • cs.CL6
  • cs.CV3
  • cs.CR2
  • cs.AI1
same name
  • Xuechen Liu — 2 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
20182026
most citedAISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

201 citations · 374 across the 45 of their papers we have counts for

collaborators
Showing 2021 · cs.SDShow all

4 papers · 2 filters

cs.SD2021★ 4 cited

Optimizing Multi-Taper Features for Deep Speaker Verification

Xuechen Liu, Md Sahidullah, Tomi Kinnunen

Multi-taper estimators provide low-variance power spectrum estimates that can be used in place of the windowed discrete Fourier transform (DFT) to extract speech features such as m…

cs.SD2021

Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification

Xuechen Liu, Md Sahidullah, Tomi Kinnunen

After their introduction to robust speech recognition, power normalized cepstral coefficient (PNCC) features were successfully adopted to other tasks, including speaker verificatio…

cs.SD2021

Parameterized Channel Normalization for Far-field Deep Speaker Verification

Xuechen Liu, Md Sahidullah, Tomi Kinnunen

We address far-field speaker verification with deep neural network (DNN) based speaker embedding extractor, where mismatch between enrollment and test data often comes from convolu…

cs.SD2021★ 3 cited

Learnable MFCCs for Speaker Verification

Xuechen Liu, Md Sahidullah, Tomi Kinnunen

We propose a learnable mel-frequency cepstral coefficient (MFCC) frontend architecture for deep neural network (DNN) based automatic speaker verification. Our architecture retains…

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