6 citations · 14 across the 14 of their papers we have counts for
13 papers · 1 filter
Balancing ASR and diarization in end-to-end LLMs for multi-talker speech recognition
Naijun Zheng, Yuke Lin, Sanli Tian +4
Multi-talker speech recognition is often addressed by combining automatic speech recognition (ASR) and speaker diarization in a pipeline system. Recently, LLM-based approaches have…
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…
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…
Sequence-to-Sequence Neural Diarization with Automatic Speaker Detection and Representation
Ming Cheng, Yuke Lin, Ming Li
This paper proposes a novel Sequence-to-Sequence Neural Diarization (S2SND) framework to perform online and offline speaker diarization. It is developed from the sequence-to-sequen…
VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmark
Yuke Lin, Ming Cheng, Fulin Zhang +3
In this paper, we provide a large audio-visual speaker recognition dataset, VoxBlink2, which includes approximately 10M utterances with videos from 110K+ speakers in the wild. This…
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…
KunquDB: An Attempt for Speaker Verification in the Chinese Opera Scenario
Huali Zhou, Yuke Lin, Dong Liu +1
This work aims to promote Chinese opera research in both musical and speech domains, with a primary focus on overcoming the data limitations. We introduce KunquDB, a relatively lar…
Haha-Pod: An Attempt for Laughter-based Non-Verbal Speaker Verification
Yuke Lin, Xiaoyi Qin, Ning Jiang +2
It is widely acknowledged that discriminative representation for speaker verification can be extracted from verbal speech. However, how much speaker information that non-verbal voc…
Multi-objective Progressive Clustering for Semi-supervised Domain Adaptation in Speaker Verification
Ze Li, Yuke Lin, Ning Jiang +4
Utilizing the pseudo-labeling algorithm with large-scale unlabeled data becomes crucial for semi-supervised domain adaptation in speaker verification tasks. In this paper, we propo…
The DKU-MSXF Speaker Verification System for the VoxCeleb Speaker Recognition Challenge 2023
Ze Li, Yuke Lin, Xiaoyi Qin +3
This paper is the system description of the DKU-MSXF System for the track1, track2 and track3 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). For Track 1, we utiliz…
The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 2023
Ming Cheng, Weiqing Wang, Xiaoyi Qin +4
This paper describes the DKU-MSXF submission to track 4 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). Our system pipeline contains voice activity detection, clust…
VoxBlink: A Large Scale Speaker Verification Dataset on Camera
Yuke Lin, Xiaoyi Qin, Guoqing Zhao +4
In this paper, we introduce a large-scale and high-quality audio-visual speaker verification dataset, named VoxBlink. We propose an innovative and robust automatic audio-visual dat…
Laugh Betrays You? Learning Robust Speaker Representation From Speech Containing Non-Verbal Fragments
Yuke Lin, Xiaoyi Qin, Huahua Cui +2
The success of automatic speaker verification shows that discriminative speaker representations can be extracted from neutral speech. However, as a kind of non-verbal voice, laught…