4 citations · 8 across the 6 of their papers we have counts for
8 papers
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge
Yi Zhu, Chirag Goel, Surya Koppisetti +3
Audio deepfake detection is crucial to combat the malicious use of AI-synthesized speech. Among many efforts undertaken by the community, the ASVspoof challenge has become one of t…
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
Yi Zhu, Surya Koppisetti, Trang Tran +1
Audio deepfake detection (ADD) is crucial to combat the misuse of speech synthesized from generative AI models. Existing ADD models suffer from generalization issues, with a large…
Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcripts
Trang Tran, Mari Ostendorf
This work explores constituency parsing on automatically recognized transcripts of conversational speech. The neural parser is based on a sentence encoder that leverages word vecto…
Analysis of Disfluency in Children's Speech
Trang Tran, Morgan Tinkler, Gary Yeung +2
Disfluencies are prevalent in spontaneous speech, as shown in many studies of adult speech. Less is understood about children's speech, especially in pre-school children who are st…
On the Role of Style in Parsing Speech with Neural Models
Trang Tran, Jiahong Yuan, Yang Liu +1
The differences in written text and conversational speech are substantial; previous parsers trained on treebanked text have given very poor results on spontaneous speech. For spoke…
Disfluencies and Human Speech Transcription Errors
Vicky Zayats, Trang Tran, Richard Wright +2
This paper explores contexts associated with errors in transcrip-tion of spontaneous speech, shedding light on human perceptionof disfluencies and other conversational speech pheno…
Parsing Speech: A Neural Approach to Integrating Lexical and Acoustic-Prosodic Information
Trang Tran, Shubham Toshniwal, Mohit Bansal +3
In conversational speech, the acoustic signal provides cues that help listeners disambiguate difficult parses. For automatically parsing spoken utterances, we introduce a model tha…
Characterizing the Language of Online Communities and its Relation to Community Reception
Trang Tran, Mari Ostendorf
This work investigates style and topic aspects of language in online communities: looking at both utility as an identifier of the community and correlation with community reception…