Raghavendra Pappagari

Computer Science · Physical Sciences

10h-index464citations27works2.02yr avg
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Research Topics

Natural Language Processing Techniques(13), Speech Recognition and Synthesis(13), Topic Modeling(12), Music and Audio Processing(9), Speech and Audio Processing(8)

Publications27 total

M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation
arXiv (Cornell University)·2024Open Access
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation
2024· 4 citedOpen Access
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation
arXiv (Cornell University)·2022· 1 citedOpen Access
Non-contrastive self-supervised learning of utterance-level speech representations
Interspeech 2022·2022· 7 cited
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations
arXiv (Cornell University)·2022Open Access
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation
2022· 22 citedOpen Access
Joint Prediction of Truecasing and Punctuation for Conversational Speech in Low-Resource Scenarios
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)·2021· 3 citedOpen Access
Beyond Isolated Utterances: Conversational Emotion Recognition
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)·2021· 1 citedOpen Access
Joint prediction of truecasing and punctuation for conversational speech\n in low-resource scenarios
arXiv (Cornell University)·2021Open Access
Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios
2021· 53 cited
What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition
arXiv (Cornell University)·2021Open Access
CopyPaste: An Augmentation Method for Speech Emotion Recognition
2021· 1 citedOpen Access
What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition
Transactions of the Association for Computational Linguistics·2021· 2 citedOpen Access
Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer’s Disease and Assess its Severity
2020· 61 cited
X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition
2020· 6 citedOpen Access
x-vectors meet emotions: A study on dependencies between emotion and\n speaker recognition
arXiv (Cornell University)·2020Open Access
Hierarchical Transformers for Long Document Classification
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)·2019· 34 citedOpen Access
Deep neural networks for emotion recognition combining audio and transcripts
arXiv (Cornell University)·2019· 9 citedOpen Access
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
2019· 90 citedOpen Access
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
arXiv (Cornell University)·2018· 10 citedOpen Access
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Frequent Co-authors

Najim Dehak(18), Jesús Villalba(11), Piotr Żelasko(10), Jaejin Cho(6), Laureano Moro-Velázquez(6), Maria Nădejde(4), Xing Niu(4), Yishay Carmiel(3), Alex Wang(3), Jan Hůla(3), Patrick Xia(3), R. Thomas McCoy(3), Roma Patel(3), Najoung Kim(3), Ian Tenney(3), Yinghui Huang(3), Katherin Yu(3), Shuning Jin(3), Berlin Chen(3), Benjamin Van Durme(3)