Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Srivastava, Harshvardhan"'
Accurate automatic speech recognition (ASR) for children is crucial for effective real-time child-AI interaction, especially in educational applications. However, off-the-shelf ASR models primarily pre-trained on adult data tend to generalize poorly
Externí odkaz:
http://arxiv.org/abs/2409.13095
Autor:
Horvitz, Zachary, Chen, Jingru, Aditya, Rahul, Srivastava, Harshvardhan, West, Robert, Yu, Zhou, McKeown, Kathleen
Humor is a fundamental facet of human cognition and interaction. Yet, despite recent advances in natural language processing, humor detection remains a challenging task that is complicated by the scarcity of datasets that pair humorous texts with sim
Externí odkaz:
http://arxiv.org/abs/2403.00794
End-to-end conversational recommendation systems (CRS) generate responses by leveraging both dialog history and a knowledge base (KB). A CRS mainly faces three key challenges: (1) at each turn, it must decide if recommending a KB entity is appropriat
Externí odkaz:
http://arxiv.org/abs/2311.08511
Autor:
Ghosh, Sreyan, Ramaneswaran, S, Tyagi, Utkarsh, Srivastava, Harshvardhan, Lepcha, Samden, Sakshi, S, Manocha, Dinesh
Expression of emotions is a crucial part of daily human communication. Emotion recognition in conversations (ERC) is an emerging field of study, where the primary task is to identify the emotion behind each utterance in a conversation. Though a lot o
Externí odkaz:
http://arxiv.org/abs/2203.16799
In this paper, we propose MMER, a novel Multimodal Multi-task learning approach for Speech Emotion Recognition. MMER leverages a novel multimodal network based on early-fusion and cross-modal self-attention between text and acoustic modalities and so
Externí odkaz:
http://arxiv.org/abs/2203.16794
Autor:
Srivastava, Harshvardhan
In recent years , there has been an upsurge in a new form of entertainment medium called memes. These memes although seemingly innocuous have transcended onto the boundary of online harassment against women and created an unwanted bias against them .
Externí odkaz:
http://arxiv.org/abs/2203.16781
Autor:
Srivastava, Harshvardhan
Eye tracking data during reading is a useful source of information to understand the cognitive processes that take place during language comprehension processes. Different languages account for different brain triggers , however there seems to be som
Externí odkaz:
http://arxiv.org/abs/2203.16474
The paper describes the work that the team submitted to FinCausal 2020 Shared Task. This work is associated with the first sub-task of identifying causality in sentences. The various models used in the experiments tried to obtain a latent space repre
Externí odkaz:
http://arxiv.org/abs/2011.07670
Publikováno v:
2012 Asia Pacific Conference on Postgraduate Research in Microelectronics & Electronics; 1/ 1/2012, p138-143, 6p
