7 citations · 18 across the 41 of their papers we have counts for
11 papers · 1 filter
Assessing Visual Privacy Risks in Multimodal AI: A Novel Taxonomy-Grounded Evaluation of Vision-Language Models
Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna +2
Artificial Intelligence have profoundly transformed the technological landscape in recent years. Large Language Models (LLMs) have demonstrated impressive abilities in reasoning, t…
VoxGuard: Evaluating User and Attribute Privacy in Speech via Membership Inference Attacks
Efthymios Tsaprazlis, Thanathai Lertpetchpun, Tiantian Feng +2
Voice anonymization aims to conceal speaker identity and attributes while preserving intelligibility, but current evaluations rely almost exclusively on Equal Error Rate (EER) that…
Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globe
Tiantian Feng, Kevin Huang, Anfeng Xu +6
We present Voxlect, a novel benchmark for modeling dialects and regional languages worldwide using speech foundation models. Specifically, we report comprehensive benchmark evaluat…
TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors
Tiantian Feng, Brandon M Booth, Karel Mundnich +4
Sleep is important for everyday functioning, overall well-being, and quality of life. Recent advances in wearable sensing technology have enabled continuous, noninvasive, and cost-…
How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?
Mengqi Wang, Tiantian Feng, Shrikanth Narayanan
Large language models (LLMs) have enabled a wide variety of real-world applications in various domains. However, creating a high-performing application with high accuracy remains c…
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction
Thanathai Lertpetchpun, Tiantian Feng, Dani Byrd +1
Speech emotion recognition (SER) in naturalistic conditions presents a significant challenge for the speech processing community. Challenges include disagreement in labeling among…
Joint ASR and Speaker Role Tagging with Serialized Output Training
Anfeng Xu, Tiantian Feng, Shrikanth Narayanan
Automatic Speech Recognition systems have made significant progress with large-scale pre-trained models. However, most current systems focus solely on transcribing the speech witho…
Developing a Top-tier Framework in Naturalistic Conditions Challenge for Categorized Emotion Prediction: From Speech Foundation Models and Learning Objective to Data Augmentation and Engineering Choices
Tiantian Feng, Thanathai Lertpetchpun, Dani Byrd +1
Speech emotion recognition (SER), particularly for naturally expressed emotions, remains a challenging computational task. Key challenges include the inherent subjectivity in emoti…
CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech
Helin Wang, Jiarui Hai, Dading Chong +11
Recent advancements in generative artificial intelligence have significantly transformed the field of style-captioned text-to-speech synthesis (CapTTS). However, adapting CapTTS to…
Large Language Models based ASR Error Correction for Child Conversations
Anfeng Xu, Tiantian Feng, So Hyun Kim +3
Automatic Speech Recognition (ASR) has recently shown remarkable progress, but accurately transcribing children's speech remains a significant challenge. Recent developments in Lar…
Who Said What WSW 2.0? Enhanced Automated Analysis of Preschool Classroom Speech
Anchen Sun, Tiantian Feng, Gabriela Gutierrez +6
This paper introduces an automated framework WSW2.0 for analyzing vocal interactions in preschool classrooms, enhancing both accuracy and scalability through the integration of wav…