1 citations · 1 across the 9 of their papers we have counts for
9 papers
Naturalistic Language-related Movie-Watching fMRI Task for Detecting Neurocognitive Decline and Disorder
Yuejiao Wang, Xianmin Gong, Xixin Wu +4
Early detection is crucial for timely intervention aimed at preventing and slowing the progression of neurocognitive disorder (NCD), a common and significant health problem among t…
Detecting Neurocognitive Disorders through Analyses of Topic Evolution and Cross-modal Consistency in Visual-Stimulated Narratives
Jinchao Li, Yuejiao Wang, Junan Li +14
Early detection of neurocognitive disorders (NCDs) is crucial for timely intervention and disease management. Given that language impairments manifest early in NCD progression, vis…
Disentangling Speakers in Multi-Talker Speech Recognition with Speaker-Aware CTC
Jiawen Kang, Lingwei Meng, Mingyu Cui +4
Multi-talker speech recognition (MTASR) faces unique challenges in disentangling and transcribing overlapping speech. To address these challenges, this paper investigates the role…
Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile Instructions
Lingwei Meng, Shujie Hu, Jiawen Kang +6
Recent advancements in large language models (LLMs) have revolutionized various domains, bringing significant progress and new opportunities. Despite progress in speech-related tas…
Empowering Whisper as a Joint Multi-Talker and Target-Talker Speech Recognition System
Lingwei Meng, Jiawen Kang, Yuejiao Wang +4
Multi-talker speech recognition and target-talker speech recognition, both involve transcription in multi-talker contexts, remain significant challenges. However, existing methods…
Large Language Model-based FMRI Encoding of Language Functions for Subjects with Neurocognitive Disorder
Yuejiao Wang, Xianmin Gong, Lingwei Meng +2
Functional magnetic resonance imaging (fMRI) is essential for developing encoding models that identify functional changes in language-related brain areas of individuals with Neuroc…
Exploiting Audio-Visual Features with Pretrained AV-HuBERT for Multi-Modal Dysarthric Speech Reconstruction
Xueyuan Chen, Yuejiao Wang, Xixin Wu +4
Dysarthric speech reconstruction (DSR) aims to transform dysarthric speech into normal speech by improving the intelligibility and naturalness. This is a challenging task especiall…
UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization
Yuejiao Wang, Xixin Wu, Disong Wang +2
Dysarthric speech reconstruction (DSR) systems aim to automatically convert dysarthric speech into normal-sounding speech. The technology eases communication with speakers affected…
A Sidecar Separator Can Convert a Single-Talker Speech Recognition System to a Multi-Talker One
Lingwei Meng, Jiawen Kang, Mingyu Cui +3
Although automatic speech recognition (ASR) can perform well in common non-overlapping environments, sustaining performance in multi-talker overlapping speech recognition remains c…