4 citations · 11 across the 20 of their papers we have counts for
12 papers · 1 filter
Towards Automated Clinical Behavioral Coding with Large Language Models: A Case study Using BOSCC recordings of Children
Jordan Prescott, Aditya Kommineni, Tiantian Feng +8
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by differences in social communication and by restricted interests and repetitive behaviors. Treatmen…
Speaker Role and Language Diarization for Analyzing Multilingual Interviews for Language Proficiency of Older Adults
Anfeng Xu, Tiantian Feng, Kevin Huang +8
Automatic language proficiency assessment in the context of multilingual interview-based settings remains underexplored. In this work, we develop Whisper-based speaker-role and lan…
Speech Entrainment in Multi-Party Conversations with a Digital Agent
Nicholas Mehlman, Kaitlin Zareno, Kleanthis Avramidis +2
It has been widely observed that individuals engaged in conversation tend to adapt their speaking style to more closely match the other interlocutors. However, most prior work has…
Exploring Speech Foundation Models for Speaker Diarization Across Lifespan
Anfeng Xu, Tiantian Feng, Shrikanth Narayanan
Speech foundation models have shown strong transferability across a wide range of speech applications. However, their robustness to age-related domain shift in speaker diarization…
Conversational Speech Naturalness Predictor
Anfeng Xu, Yashesh Gaur, Naoyuki Kanda +6
Evaluation of conversational naturalness is essential for developing human-like speech agents. However, existing speech naturalness predictors are often designed to assess utteranc…
End-to-End Joint ASR and Speaker Role Diarization with Child-Adult Interactions
Anfeng Xu, Tiantian Feng, Somer Bishop +2
Accurate transcription and speaker role diarization of child-adult spoken interactions are crucial for developmental and clinical research. However, manual annotation is time-consu…
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…
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…
Data Efficient Child-Adult Speaker Diarization with Simulated Conversations
Anfeng Xu, Tiantian Feng, Helen Tager-Flusberg +2
Automating child speech analysis is crucial for applications such as neurocognitive assessments. Speaker diarization, which identifies ``who spoke when'', is an essential component…
Effective Integration of KAN for Keyword Spotting
Anfeng Xu, Biqiao Zhang, Shuyu Kong +4
Keyword spotting (KWS) is an important speech processing component for smart devices with voice assistance capability. In this paper, we investigate if Kolmogorov-Arnold Networks (…
Exploring Speech Foundation Models for Speaker Diarization in Child-Adult Dyadic Interactions
Anfeng Xu, Kevin Huang, Tiantian Feng +3
Speech foundation models, trained on vast datasets, have opened unique opportunities in addressing challenging low-resource speech understanding, such as child speech. In this work…
Audio-visual child-adult speaker classification in dyadic interactions
Anfeng Xu, Kevin Huang, Tiantian Feng +2
Interactions involving children span a wide range of important domains from learning to clinical diagnostic and therapeutic contexts. Automated analyses of such interactions are mo…