10 citations · 15 across the 17 of their papers we have counts for
9 papers · 1 filter
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition
Chao-Han Huck Yang, Taejin Park, Yuan Gong +18
Given recent advances in generative AI technology, a key question is how large language models (LLMs) can enhance acoustic modeling tasks using text decoding results from a frozen,…
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…
Can Textual Semantics Mitigate Sounding Object Segmentation Preference?
Yaoting Wang, Peiwen Sun, Yuanchao Li +2
The Audio-Visual Segmentation (AVS) task aims to segment sounding objects in the visual space using audio cues. However, in this work, it is recognized that previous AVS methods sh…
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…
Beyond Voice Assistants: Exploring Advantages and Risks of an In-Car Social Robot in Real Driving Scenarios
Yuanchao Li, Lachlan Urquhart, Nihan Karatas +3
In-car Voice Assistants (VAs) play an increasingly critical role in automotive user interface design. However, existing VAs primarily perform simple 'query-answer' tasks, limiting…