1 citations · 2 across the 5 of their papers we have counts for
5 papers
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs
Minxue Niu, Mimansa Jaiswal, Emily Mower Provost
Training emotion recognition models has relied heavily on human annotated data, which present diversity, quality, and cost challenges. In this paper, we explore the potential of La…
Why Antiwork: A RoBERTa-Based System for Work-Related Stress Identification and Leading Factor Analysis
Tao Lu, Muzhe Wu, Xinyi Lu +4
Harsh working environments and work-related stress have been known to contribute to mental health problems such as anxiety, depression, and suicidal ideation. As such, it is paramo…
Beyond Binary: Multiclass Paraphasia Detection with Generative Pretrained Transformers and End-to-End Models
Matthew Perez, Aneesha Sampath, Minxue Niu +1
Aphasia is a language disorder that can lead to speech errors known as paraphasias, which involve the misuse, substitution, or invention of words. Automatic paraphasia detection ca…
Automatic Disfluency Detection from Untranscribed Speech
Amrit Romana, Kazuhito Koishida, Emily Mower Provost
Speech disfluencies, such as filled pauses or repetitions, are disruptions in the typical flow of speech. Stuttering is a speech disorder characterized by a high rate of disfluenci…
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain
Soheil Khorram, Melvin G McInnis, Emily Mower Provost
DTW calculates the similarity or alignment between two signals, subject to temporal warping. However, its computational complexity grows exponentially with the number of time-serie…