10 citations · 15 across the 17 of their papers we have counts for
11 papers · 1 filter
CoSTA: Cognitive-State-Conditioned TTS Data Augmentation Using ASR Transcripts for Alzheimer's Disease Detection
Yin-Long Liu, Yuanchao Li, Yiming Wang +8
Speech-based Alzheimer's Disease (AD) detection is constrained by scarce pathological speech data. To address this, we propose CoSTA, a Text-to-Speech (TTS)-based data augmentation…
AdaLTM: Adaptive Layer-wise Task Vector Merging for Categorical Speech Emotion Recognition with ASR Knowledge Integration
Chia-Yu Lee, Huang-Cheng Chou, Tzu-Quan Lin +4
Integrating Automatic Speech Recognition (ASR) into Speech Emotion Recognition (SER) enhances modeling by providing linguistic context. However, conventional feature fusion faces p…
Speech Emotion Recognition with ASR Integration
Yuanchao Li
Speech Emotion Recognition (SER) plays a pivotal role in understanding human communication, enabling emotionally intelligent systems, and serving as a fundamental component in the…
Leveraging Cascaded Binary Classification and Multimodal Fusion for Dementia Detection through Spontaneous Speech
Yin-Long Liu, Yuanchao Li, Rui Feng +7
This paper presents our submission to the PROCESS Challenge 2025, focusing on spontaneous speech analysis for early dementia detection. For the three-class classification task (Hea…
Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information
Nicholas Sanders, Yuanchao Li, Korin Richmond +1
Quantization in SSL speech models (e.g., HuBERT) improves compression and performance in tasks like language modeling, resynthesis, and text-to-speech but often discards prosodic a…
Exploring Acoustic Similarity in Emotional Speech and Music via Self-Supervised Representations
Yujia Sun, Zeyu Zhao, Korin Richmond +1
Emotion recognition from speech and music shares similarities due to their acoustic overlap, which has led to interest in transferring knowledge between these domains. However, the…
Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labeling
Yuanchao Li, Zixing Zhang, Jing Han +2
The lack of labeled data is a common challenge in speech classification tasks, particularly those requiring extensive subjective assessment, such as cognitive state classification.…
Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised Models
Zhichen Han, Tianqi Geng, Hui Feng +3
Utilizing Self-Supervised Learning (SSL) models for Speech Emotion Recognition (SER) has proven effective, yet limited research has explored cross-lingual scenarios. This study pre…
Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction
Yuanchao Li, Yuan Gong, Chao-Han Huck Yang +2
Annotating and recognizing speech emotion using prompt engineering has recently emerged with the advancement of Large Language Models (LLMs), yet its efficacy and reliability remai…
Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
Yuanchao Li, Azalea Gui, Dimitra Emmanouilidou +1
The complex nature of musical emotion introduces inherent bias in both recognition and generation, particularly when relying on a single audio encoder, emotion classifier, or evalu…
Speech Emotion Recognition with ASR Transcripts: A Comprehensive Study on Word Error Rate and Fusion Techniques
Yuanchao Li, Peter Bell, Catherine Lai
Text data is commonly utilized as a primary input to enhance Speech Emotion Recognition (SER) performance and reliability. However, the reliance on human-transcribed text in most s…