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Ze Li

5 papers hereh-index 448 citations7 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.AS4
  • cs.LG1
same name
  • Ze Li — 7 papers, h 1
  • Ze Li — 3 papers, h 8
  • Ze Li — 3 papers, h 1
  • Ze Li — 3 papers, h 2
  • Ze Li — 3 papers, h 2
  • Ze Li — 1 paper, h 0

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
20242026
most citedLFM2 Technical Report

1 citations · 1 across the 1 of their papers we have counts for

collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2026

Enhancing Speaker Verification with w2v-BERT 2.0 and Knowledge Distillation guided Structured Pruning

Ze Li, Ming Cheng, Ming Li

Large-scale self-supervised Pre-Trained Models (PTMs) have shown significant improvements in the speaker verification (SV) task by providing rich feature representations. In this p…

eess.AS2025

The DKU System for Multi-Speaker Automatic Speech Recognition in MLC-SLM Challenge

Yuke Lin, Ming Cheng, Ze Li +1

We present the DKU system for Task 2 of the MLC-SLM Challenge, which aims to perform multi-speaker automatic speech recognition directly from raw audio without Oracle speaker label…

eess.AS2025

Diarization-Aware Multi-Speaker Automatic Speech Recognition via Large Language Models

Yuke Lin, Ming Cheng, Ze Li +2

Multi-speaker automatic speech recognition (MS-ASR) faces significant challenges in transcribing overlapped speech, a task critical for applications like meeting transcription and…

eess.AS2024

The Database and Benchmark for the Source Speaker Tracing Challenge 2024

Ze Li, Yuke Lin, Tian Yao +6

Voice conversion (VC) systems can transform audio to mimic another speaker's voice, thereby attacking speaker verification (SV) systems. However, ongoing studies on source speaker…

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