7 papers
Decoding Emotions: A comprehensive Multilingual Study of Speech Models for Speech Emotion Recognition
Anant Singh, Akshat Gupta
Recent advancements in transformer-based speech representation models have greatly transformed speech processing. However, there has been limited research conducted on evaluating t…
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data
Akshat Gupta, Xiaomo Liu, Sameena Shah
Domain adaptation is an important and widely studied problem in natural language processing. A large body of literature tries to solve this problem by adapting models trained on th…
GlyphNet: Homoglyph domains dataset and detection using attention-based Convolutional Neural Networks
Akshat Gupta, Laxman Singh Tomar, Ridhima Garg
Cyber attacks deceive machines into believing something that does not exist in the first place. However, there are some to which even humans fall prey. One such famous attack that…
Multilingual Speech Emotion Recognition With Multi-Gating Mechanism and Neural Architecture Search
Zihan Wang, Qi Meng, HaiFeng Lan +3
Speech emotion recognition (SER) classifies audio into emotion categories such as Happy, Angry, Fear, Disgust and Neutral. While Speech Emotion Recognition (SER) is a common applic…
TransPOS: Transformers for Consolidating Different POS Tagset Datasets
Alex Li, Ilyas Bankole-Hameed, Ranadeep Singh +2
In hope of expanding training data, researchers often want to merge two or more datasets that are created using different labeling schemes. This paper considers two datasets that l…
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models
Alec Candidato, Akshat Gupta, Xiaomo Liu +1
This paper presents our submission for the SMM4H 2022-Shared Task on the classification of self-reported intimate partner violence on Twitter (in English). The goal of this task wa…
Intent Classification Using Pre-trained Language Agnostic Embeddings For Low Resource Languages
Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi +2
Building Spoken Language Understanding (SLU) systems that do not rely on language specific Automatic Speech Recognition (ASR) is an important yet less explored problem in language…