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Lirong Dai

41 papers hereh-index 459.6k citations341 works total

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

author position
  • middle author13
  • last author28

Across the 41 of 41 papers where every author was matched, so the position is known.

fields
  • eess.AS20
  • cs.SD7
  • cs.CV5
  • cs.NE4
  • cs.CL3
  • cs.DC1
same name
  • Lirong Dai — 6 papers, h 5
  • Lirong Dai — 5 papers, h 7
  • Lirong Dai — 1 paper, h 2
  • Lirong Dai — 1 paper, h 2
  • Lirong Dai — 1 paper, h 2

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
20152023
most citedSequence-to-Sequence Acoustic Modeling for Voice Conversion

105 citations · 715 across the 41 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

eess.AS2023

CASA-ASR: Context-Aware Speaker-Attributed ASR

Mohan Shi, Zhihao Du, Qian Chen +5

Recently, speaker-attributed automatic speech recognition (SA-ASR) has attracted a wide attention, which aims at answering the question ``who spoke what''. Different from modular s…

eess.AS2023★ 1 cited

Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction

Mohan Shi, Yuchun Shu, Lingyun Zuo +4

For speech interaction, voice activity detection (VAD) is often used as a front-end. However, traditional VAD algorithms usually need to wait for a continuous tail silence to reach…

eess.AS2023

Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection

Xiao-Min Zeng, Yan Song, Zhu Zhuo +5

In this paper, we propose a joint generative and contrastive representation learning method (GeCo) for anomalous sound detection (ASD). GeCo exploits a Predictive AutoEncoder (PAE)…

eess.AS2023

AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer

Kang Li, Yan Song, Li-Rong Dai +3

In this paper, we propose an effective sound event detection (SED) method based on the audio spectrogram transformer (AST) model, pretrained on the large-scale AudioSet for audio t…

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