Search Results for author:
Found 12 papers, 3 papers with code
Post-Stroke Speech Transcription Challenge (Task B): Correctness Detection in Anomia Diagnosis with Imperfect Transcripts
In this work, we focus on Task B of the challenge, i. e. identification of response correctness.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Analysis of Behavior Classification in Motivational Interviewing
Analysis of client and therapist behavior in counseling sessions can provide helpful insights for assessing the quality of the session and consequently, the client’s behavioral outcome.
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge
Our system SLIM learns the style-linguistics dependency embeddings from various types of bonafide speech using self-supervised contrastive learning.
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
The learned features are then used in complement with standard pretrained acoustic features (e. g., Wav2vec) to learn a classifier on the real and fake classes.
Box Embeddings: An open-source library for representation learning using geometric structures
A major factor contributing to the success of modern representation learning is the ease of performing various vector operations.
Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcripts
This work explores constituency parsing on automatically recognized transcripts of conversational speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
KnowledgeCheckR: Intelligent Techniques for Counteracting Forgetting
In this paper, we provide an overview of the recommendation approaches integrated in KnowledgeCheckR.
Analysis of Disfluency in Children's Speech
Disfluencies are prevalent in spontaneous speech, as shown in many studies of adult speech.
On the Role of Style in Parsing Speech with Neural Models
The differences in written text and conversational speech are substantial; previous parsers trained on treebanked text have given very poor results on spontaneous speech.
Disfluencies and Human Speech Transcription Errors
This paper explores contexts associated with errors in transcrip-tion of spontaneous speech, shedding light on human perceptionof disfluencies and other conversational speech phenomena.
Parsing Speech: A Neural Approach to Integrating Lexical and Acoustic-Prosodic Information
In conversational speech, the acoustic signal provides cues that help listeners disambiguate difficult parses.
Characterizing the Language of Online Communities and its Relation to Community Reception
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 of content.
