1 citations · 2 across the 9 of their papers we have counts for
9 papers
Switchboard-Affect: Emotion Perception Labels from Conversational Speech
Amrit Romana, Jaya Narain, Tien Dung Tran +4
Understanding the nuances of speech emotion dataset curation and labeling is essential for assessing speech emotion recognition (SER) model potential in real-world applications. Mo…
Affect Models Have Weak Generalizability to Atypical Speech
Jaya Narain, Amrit Romana, Vikramjit Mitra +2
Speech and voice conditions can alter the acoustic properties of speech, which could impact the performance of paralinguistic models for affect for people with atypical speech. We…
Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions
Vikramjit Mitra, Amrit Romana, Dung T. Tran +1
Spontaneous speech emotion data usually contain perceptual grades where graders assign emotion score after listening to the speech files. Such perceptual grades introduce uncertain…
Rethinking Emotion Annotations in the Era of Large Language Models
Minxue Niu, Yara El-Tawil, Amrit Romana +1
Modern affective computing systems rely heavily on datasets with human-annotated emotion labels, for training and evaluation. However, human annotations are expensive to obtain, se…
Seq2seq for Automatic Paraphasia Detection in Aphasic Speech
Matthew Perez, Duc Le, Amrit Romana +3
Paraphasias are speech errors that are often characteristic of aphasia and they represent an important signal in assessing disease severity and subtype. Traditionally, clinicians m…
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…
Articulatory Coordination for Speech Motor Tracking in Huntington Disease
Matthew Perez, Amrit Romana, Angela Roberts +4
Huntington Disease (HD) is a progressive disorder which often manifests in motor impairment. Motor severity (captured via motor score) is a key component in assessing overall HD se…
Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network
Lance Ying, Amrit Romana, Emily Mower Provost
In recent years, deep-learning-based speech emotion recognition models have outperformed classical machine learning models. Previously, neural network designs, such as Multitask Le…
Classification of Manifest Huntington Disease using Vowel Distortion Measures
Amrit Romana, John Bandon, Noelle Carlozzi +2
Huntington disease (HD) is a fatal autosomal dominant neurocognitive disorder that causes cognitive disturbances, neuropsychiatric symptoms, and impaired motor abilities (e.g., gai…