28 citations · 38 across the 13 of their papers we have counts for
15 papers
Pre-Trained Foundation Model representations to uncover Breathing patterns in Speech
Vikramjit Mitra, Anirban Chatterjee, Ke Zhai +6
The process of human speech production involves coordinated respiratory action to elicit acoustic speech signals. Typically, speech is produced when air is forced from the lungs an…
Investigating salient representations and label Variance in Dimensional Speech Emotion Analysis
Vikramjit Mitra, Jingping Nie, Erdrin Azemi
Representations derived from models such as BERT (Bidirectional Encoder Representations from Transformers) and HuBERT (Hidden units BERT), have helped to achieve state-of-the-art p…
Pre-trained Model Representations and their Robustness against Noise for Speech Emotion Analysis
Vikramjit Mitra, Vasudha Kowtha, Hsiang-Yun Sherry Chien +2
Pre-trained model representations have demonstrated state-of-the-art performance in speech recognition, natural language processing, and other applications. Speech models, such as…
Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation
Vikramjit Mitra, Hsiang-Yun Sherry Chien, Vasudha Kowtha +2
Estimating dimensional emotions, such as activation, valence and dominance, from acoustic speech signals has been widely explored over the past few years. While accurate estimation…
Estimating Respiratory Rate From Breath Audio Obtained Through Wearable Microphones
Agni Kumar, Vikramjit Mitra, Carolyn Oliver +3
Respiratory rate (RR) is a clinical metric used to assess overall health and physical fitness. An individual's RR can change from their baseline due to chronic illness symptoms (e.…
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech
Vikramjit Mitra, Zifang Huang, Colin Lea +8
Dysfluencies and variations in speech pronunciation can severely degrade speech recognition performance, and for many individuals with moderate-to-severe speech disorders, voice op…